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• How to Write a Strong Hypothesis | Steps & Examples

How to Write a Strong Hypothesis | Steps & Examples

Published on May 6, 2022 by Shona McCombes . Revised on November 20, 2023.

A hypothesis is a statement that can be tested by scientific research. If you want to test a relationship between two or more variables, you need to write hypotheses before you start your experiment or data collection .

Example: Hypothesis

Daily apple consumption leads to fewer doctor’s visits.

Table of contents

What is a hypothesis, developing a hypothesis (with example), hypothesis examples, other interesting articles, frequently asked questions about writing hypotheses.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess – it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations and statistical analysis of data).

Variables in hypotheses

Hypotheses propose a relationship between two or more types of variables .

• An independent variable is something the researcher changes or controls.
• A dependent variable is something the researcher observes and measures.

If there are any control variables , extraneous variables , or confounding variables , be sure to jot those down as you go to minimize the chances that research bias  will affect your results.

In this example, the independent variable is exposure to the sun – the assumed cause . The dependent variable is the level of happiness – the assumed effect .

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Step 1. Ask a question

Writing a hypothesis begins with a research question that you want to answer. The question should be focused, specific, and researchable within the constraints of your project.

Step 2. Do some preliminary research

Your initial answer to the question should be based on what is already known about the topic. Look for theories and previous studies to help you form educated assumptions about what your research will find.

At this stage, you might construct a conceptual framework to ensure that you’re embarking on a relevant topic . This can also help you identify which variables you will study and what you think the relationships are between them. Sometimes, you’ll have to operationalize more complex constructs.

Step 3. Formulate your hypothesis

Now you should have some idea of what you expect to find. Write your initial answer to the question in a clear, concise sentence.

4. Refine your hypothesis

You need to make sure your hypothesis is specific and testable. There are various ways of phrasing a hypothesis, but all the terms you use should have clear definitions, and the hypothesis should contain:

• The relevant variables
• The specific group being studied
• The predicted outcome of the experiment or analysis

5. Phrase your hypothesis in three ways

To identify the variables, you can write a simple prediction in  if…then form. The first part of the sentence states the independent variable and the second part states the dependent variable.

In academic research, hypotheses are more commonly phrased in terms of correlations or effects, where you directly state the predicted relationship between variables.

If you are comparing two groups, the hypothesis can state what difference you expect to find between them.

6. Write a null hypothesis

If your research involves statistical hypothesis testing , you will also have to write a null hypothesis . The null hypothesis is the default position that there is no association between the variables. The null hypothesis is written as H 0 , while the alternative hypothesis is H 1 or H a .

• H 0 : The number of lectures attended by first-year students has no effect on their final exam scores.
• H 1 : The number of lectures attended by first-year students has a positive effect on their final exam scores.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

A hypothesis is not just a guess — it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations and statistical analysis of data).

Null and alternative hypotheses are used in statistical hypothesis testing . The null hypothesis of a test always predicts no effect or no relationship between variables, while the alternative hypothesis states your research prediction of an effect or relationship.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

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How to Write a Hypothesis

If I [do something], then [this] will happen.

This basic statement/formula should be pretty familiar to all of you as it is the starting point of almost every scientific project or paper. It is a hypothesis – a statement that showcases what you “think” will happen during an experiment. This assumption is made based on the knowledge, facts, and data you already have.

How do you write a hypothesis? If you have a clear understanding of the proper structure of a hypothesis, you should not find it too hard to create one. However, if you have never written a hypothesis before, you might find it a bit frustrating. In this article from EssayPro - custom essay writing services , we are going to tell you everything you need to know about hypotheses, their types, and practical tips for writing them.

Hypothesis Definition

According to the definition, a hypothesis is an assumption one makes based on existing knowledge. To elaborate, it is a statement that translates the initial research question into a logical prediction shaped on the basis of available facts and evidence. To solve a specific problem, one first needs to identify the research problem (research question), conduct initial research, and set out to answer the given question by performing experiments and observing their outcomes. However, before one can move to the experimental part of the research, they should first identify what they expect to see for results. At this stage, a scientist makes an educated guess and writes a hypothesis that he or she is going to prove or refute in the course of their study.

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A hypothesis can also be seen as a form of development of knowledge. It is a well-grounded assumption put forward to clarify the properties and causes of the phenomena being studied.

As a rule, a hypothesis is formed based on a number of observations and examples that confirm it. This way, it looks plausible as it is backed up with some known information. The hypothesis is subsequently proved by turning it into an established fact or refuted (for example, by pointing out a counterexample), which allows it to attribute it to the category of false statements.

As a student, you may be asked to create a hypothesis statement as a part of your academic papers. Hypothesis-based approaches are commonly used among scientific academic works, including but not limited to research papers, theses, and dissertations.

Note that in some disciplines, a hypothesis statement is called a thesis statement. However, its essence and purpose remain unchanged – this statement aims to make an assumption regarding the outcomes of the investigation that will either be proved or refuted.

Characteristics and Sources of a Hypothesis

Now, as you know what a hypothesis is in a nutshell, let’s look at the key characteristics that define it:

• It has to be clear and accurate in order to look reliable.
• It has to be specific.
• There should be scope for further investigation and experiments.
• A hypothesis should be explained in simple language—while retaining its significance.
• If you are making a relational hypothesis, two essential elements you have to include are variables and the relationship between them.

The main sources of a hypothesis are:

• Scientific theories.
• Observations from previous studies and current experiences.
• The resemblance among different phenomena.
• General patterns that affect people’s thinking process.

Types of Hypothesis

Basically, there are two major types of scientific hypothesis: alternative and null.

• Alternative Hypothesis

This type of hypothesis is generally denoted as H1. This statement is used to identify the expected outcome of your research. According to the alternative hypothesis definition, this type of hypothesis can be further divided into two subcategories:

• Directional — a statement that explains the direction of the expected outcomes. Sometimes this type of hypothesis is used to study the relationship between variables rather than comparing between the groups.
• Non-directional — unlike the directional alternative hypothesis, a non-directional one does not imply a specific direction of the expected outcomes.

Now, let’s see an alternative hypothesis example for each type:

Directional: Attending more lectures will result in improved test scores among students. Non-directional: Lecture attendance will influence test scores among students.

Notice how in the directional hypothesis we specified that the attendance of more lectures will boost student’s performance on tests, whereas in the non-directional hypothesis we only stated that there is a relationship between the two variables (i.e. lecture attendance and students’ test scores) but did not specify whether the performance will improve or decrease.

• Null Hypothesis

This type of hypothesis is generally denoted as H0. This statement is the complete opposite of what you expect or predict will happen throughout the course of your study—meaning it is the opposite of your alternative hypothesis. Simply put, a null hypothesis claims that there is no exact or actual correlation between the variables defined in the hypothesis.

To give you a better idea of how to write a null hypothesis, here is a clear example: Lecture attendance has no effect on student’s test scores.

Both of these types of hypotheses provide specific clarifications and restatements of the research problem. The main difference between these hypotheses and a research problem is that the latter is just a question that can’t be tested, whereas hypotheses can.

Based on the alternative and null hypothesis examples provided earlier, we can conclude that the importance and main purpose of these hypotheses are that they deliver a rough description of the subject matter. The main purpose of these statements is to give an investigator a specific guess that can be directly tested in a study. Simply put, a hypothesis outlines the framework, scope, and direction for the study. Although null and alternative hypotheses are the major types, there are also a few more to keep in mind:

Research Hypothesis — a statement that is used to test the correlation between two or more variables.

For example: Eating vitamin-rich foods affects human health.

Simple Hypothesis — a statement used to indicate the correlation between one independent and one dependent variable.

For example: Eating more vegetables leads to better immunity.

Complex Hypothesis — a statement used to indicate the correlation between two or more independent variables and two or more dependent variables.

For example: Eating more fruits and vegetables leads to better immunity, weight loss, and lower risk of diseases.

Associative and Causal Hypothesis — an associative hypothesis is a statement used to indicate the correlation between variables under the scenario when a change in one variable inevitably changes the other variable. A causal hypothesis is a statement that highlights the cause and effect relationship between variables.

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Hypothesis vs Prediction

When speaking of hypotheses, another term that comes to mind is prediction. These two terms are often used interchangeably, which can be rather confusing. Although both a hypothesis and prediction can generally be defined as “guesses” and can be easy to confuse, these terms are different. The main difference between a hypothesis and a prediction is that the first is predominantly used in science, while the latter is most often used outside of science.

Simply put, a hypothesis is an intelligent assumption. It is a guess made regarding the nature of the unknown (or less known) phenomena based on existing knowledge, studies, and/or series of experiments, and is otherwise grounded by valid facts. The main purpose of a hypothesis is to use available facts to create a logical relationship between variables in order to provide a more precise scientific explanation. Additionally, hypotheses are statements that can be tested with further experiments. It is an assumption you make regarding the flow and outcome(s) of your research study.

A prediction, on the contrary, is a guess that often lacks grounding. Although, in theory, a prediction can be scientific, in most cases it is rather fictional—i.e. a pure guess that is not based on current knowledge and/or facts. As a rule, predictions are linked to foretelling events that may or may not occur in the future. Often, a person who makes predictions has little or no actual knowledge of the subject matter he or she makes the assumption about.

Another big difference between these terms is in the methodology used to prove each of them. A prediction can only be proven once. You can determine whether it is right or wrong only upon the occurrence or non-occurrence of the predicted event. A hypothesis, on the other hand, offers scope for further testing and experiments. Additionally, a hypothesis can be proven in multiple stages. This basically means that a single hypothesis can be proven or refuted numerous times by different scientists who use different scientific tools and methods.

To give you a better idea of how a hypothesis is different from a prediction, let’s look at the following examples:

Hypothesis: If I eat more vegetables and fruits, then I will lose weight faster.

This is a hypothesis because it is based on generally available knowledge (i.e. fruits and vegetables include fewer calories compared to other foods) and past experiences (i.e. people who give preference to healthier foods like fruits and vegetables are losing weight easier). It is still a guess, but it is based on facts and can be tested with an experiment.

Prediction: The end of the world will occur in 2023.

This is a prediction because it foretells future events. However, this assumption is fictional as it doesn’t have any actual grounded evidence supported by facts.

Based on everything that was said earlier and our examples, we can highlight the following key takeaways:

• A hypothesis, unlike a prediction, is a more intelligent assumption based on facts.
• Hypotheses define existing variables and analyze the relationship(s) between them.
• Predictions are most often fictional and lack grounding.
• A prediction is most often used to foretell events in the future.
• A prediction can only be proven once – when the predicted event occurs or doesn’t occur. 
• A hypothesis can remain a hypothesis even if one scientist has already proven or disproven it. Other scientists in the future can obtain a different result using other methods and tools.

We also recommend that you read about some informative essay topics .

Now, as you know what a hypothesis is, what types of it exist, and how it differs from a prediction, you are probably wondering how to state a hypothesis. In this section, we will guide you through the main stages of writing a good hypothesis and provide handy tips and examples to help you overcome this challenge:

1. Define Your Research Question

Here is one thing to keep in mind – regardless of the paper or project you are working on, the process should always start with asking the right research question. A perfect research question should be specific, clear, focused (meaning not too broad), and manageable.

Example: How does eating fruits and vegetables affect human health?

2. Conduct Your Basic Initial Research

As you already know, a hypothesis is an educated guess of the expected results and outcomes of an investigation. Thus, it is vital to collect some information before you can make this assumption.

At this stage, you should find an answer to your research question based on what has already been discovered. Search for facts, past studies, theories, etc. Based on the collected information, you should be able to make a logical and intelligent guess.

3. Formulate a Hypothesis

Based on the initial research, you should have a certain idea of what you may find throughout the course of your research. Use this knowledge to shape a clear and concise hypothesis.

Based on the type of project you are working on, and the type of hypothesis you are planning to use, you can restate your hypothesis in several different ways:

Non-directional: Eating fruits and vegetables will affect one’s human physical health. Directional: Eating fruits and vegetables will positively affect one’s human physical health. Null: Eating fruits and vegetables will have no effect on one’s human physical health.

4. Refine Your Hypothesis

Finally, the last stage of creating a good hypothesis is refining what you’ve got. During this step, you need to define whether your hypothesis:

• Has clear and relevant variables;
• Identifies the relationship between its variables;
• Is specific and testable;
• Suggests a predicted result of the investigation or experiment.

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Hypothesis Examples

Following a step-by-step guide and tips from our essay writers for hire , you should be able to create good hypotheses with ease. To give you a starting point, we have also compiled a list of different research questions with one hypothesis and one null hypothesis example for each:

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Sometimes, coping with a large academic load is just too much for a student to handle. Papers like research papers and dissertations can take too much time and effort to write, and, often, a hypothesis is a necessary starting point to get the task on track. Writing or editing a hypothesis is not as easy as it may seem. However, if you need help with forming it, the team at EssayPro is always ready to come to your rescue! If you’re feeling stuck, or don’t have enough time to cope with other tasks, don’t hesitate to send us you rewrite my essay for me or any other request.

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How to Write a Hypothesis for an Essay

Last Updated: September 16, 2021

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A hypothesis is an educated guess as to what will happen, given a certain set of circumstances. [1] X Research source Hypotheses are often used in science. Scientists look at a given set of circumstances or parameters and make an educated guess about how those circumstances affect something else. Then, they test that guess. Essays are often used to write up the results of these experiments. But before you ever write this type of essay, you have to choose and write out a hypothesis to test.

Narrowing Down Your Topic

• It’s easy to use the library database at your local library. Once you locate the library’s databases, you should pick out ones that are focused on science articles.
• Most libraries have some form of EBSCOhost, and if you use advanced search, you can select the databases you want, such as Science and Technology or Science Reference Center.
• Once you’ve decided on databases, you can use search terms to find what you need. Ask your librarian can help you if you’re having trouble.

• As a high school student, you’ll want to stick to more basic stuff; you can find databases geared towards your level, and your librarian should be able to point you in the right direction.
• If you’re a college student, you should be able to use most of what you find in the academic databases. You can also use your textbook to help you decide what you want to study, as well as whose theories you will base your own experiment on.
• For instance, maybe you want to study Gregor Mendel’s techniques with genetics and plants.

• It’s best to keep all of the bibliographical information together so you can find it again. Just make sure you jot down the name of the author when you begin taking notes from a source, so you know what bibliographic entry it came from.
• You should also note where you found the article or book, as well, so you can go back to it if you need to do further research.

• It is possible to be too narrow, but it is easier to expand it a bit if you need to rather than to condense it after you’ve tried to tackle too much research. If you are a younger student, such as a high school student, you may just want to repeat Mendel’s experiments to see how they work.
• If you are an older student, such as a graduate student, your work will need to be more original. You will need to put your own spin on plants and genetics. Maybe you want to study how splicing together two plants changes the genes of the plant over time.

Composing the Hypothesis

• That is, with a paper on hybrids, you might want to make one category on Mendel’s research, one for newer studies that are similar, one for splicing, and one for the type of cucumber you are using.

• To conduct the experiment, you will splice plants that manifest certain characteristics to see which produces the desired results. In this case, you are manipulating genes by picking plants for certain characteristics.
• According to Explorable, the point of an experiment is to change one variable while controlling other ones and watching for changes. [3] X Research source That is, with the cucumbers, you would need a control, such as splicing one set of cucumber plants at random, noting its characteristics, instead of choosing for a particular characteristic. Then you compare the fruit each type of plants produce.

• Also include how you plan to carry out the experiment and what you expect to happen. Because a hypothesis is a guess about what will happen, you have to spell out for your reader what you're thinking.
• Start putting it together into a formal sentence. Basically, your hypothesis is how you tell your reader in one concise sentence what you are going to do. You are boiling it down as much as possible.

• For instance, for this experiment, you could write something like, “This experiment will test the hypothesis that selecting Armenian cucumbers (scientific name Cucumis melo var. flexuosus) for crispiness and splicing those plants together will, over time, produce a crisper cucumber, and this hypothesis will be tested by selecting cucumbers for crispiness to splice with cucumbers with similar traits, along with a control group for comparing results.”
• This hypothesis is specific, it tells what you want to do, and it gives an idea of how you are going to do it.

Expert Q&A

• Essentially, to write a hypothesis, you need to pick a field and narrow down to an experiment you want to conduct. Make an educated guess about that experiment, and write it up formally for your paper. Thanks Helpful 0 Not Helpful 0
• For instance, a kid doing science project might guess that a plant will grow better if it is fed tea rather than water. It is an educated guess because the kid knows that tea has more nutrients than water, so it might help it grow faster. The kid will then test the hypothesis by performing a set of experiments over time, comparing a plant growing with just water to one growing with tea, to prove whether her hypothesis was correct or not. Thanks Helpful 0 Not Helpful 0
• Remember that you will not necessarily prove your hypothesis is correct. The point of the experiment is to see if you are right, but you may not be. The outcome of the experiment should not affect the quality of the essay one way or the other. Thanks Helpful 0 Not Helpful 0

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• ↑ http://dictionary.reference.com/browse/hypothesis
• ↑ http://writingcenter.waldenu.edu/314.htm
• ↑ https://explorable.com/experimental-research

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• Knowledge Base
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• How to Write a Strong Hypothesis | Guide & Examples

How to Write a Strong Hypothesis | Guide & Examples

Published on 6 May 2022 by Shona McCombes .

A hypothesis is a statement that can be tested by scientific research. If you want to test a relationship between two or more variables, you need to write hypotheses before you start your experiment or data collection.

Table of contents

What is a hypothesis, developing a hypothesis (with example), hypothesis examples, frequently asked questions about writing hypotheses.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess – it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

Variables in hypotheses

Hypotheses propose a relationship between two or more variables . An independent variable is something the researcher changes or controls. A dependent variable is something the researcher observes and measures.

In this example, the independent variable is exposure to the sun – the assumed cause . The dependent variable is the level of happiness – the assumed effect .

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Step 1: ask a question.

Writing a hypothesis begins with a research question that you want to answer. The question should be focused, specific, and researchable within the constraints of your project.

Step 2: Do some preliminary research

Your initial answer to the question should be based on what is already known about the topic. Look for theories and previous studies to help you form educated assumptions about what your research will find.

At this stage, you might construct a conceptual framework to identify which variables you will study and what you think the relationships are between them. Sometimes, you’ll have to operationalise more complex constructs.

Step 3: Formulate your hypothesis

Now you should have some idea of what you expect to find. Write your initial answer to the question in a clear, concise sentence.

Step 4: Refine your hypothesis

You need to make sure your hypothesis is specific and testable. There are various ways of phrasing a hypothesis, but all the terms you use should have clear definitions, and the hypothesis should contain:

• The relevant variables
• The specific group being studied
• The predicted outcome of the experiment or analysis

Step 5: Phrase your hypothesis in three ways

To identify the variables, you can write a simple prediction in if … then form. The first part of the sentence states the independent variable and the second part states the dependent variable.

In academic research, hypotheses are more commonly phrased in terms of correlations or effects, where you directly state the predicted relationship between variables.

If you are comparing two groups, the hypothesis can state what difference you expect to find between them.

Step 6. Write a null hypothesis

If your research involves statistical hypothesis testing , you will also have to write a null hypothesis. The null hypothesis is the default position that there is no association between the variables. The null hypothesis is written as H 0 , while the alternative hypothesis is H 1 or H a .

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

A hypothesis is not just a guess. It should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

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How to Write a Great Hypothesis

Hypothesis Format, Examples, and Tips

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Amy Morin, LCSW, is a psychotherapist and international bestselling author. Her books, including "13 Things Mentally Strong People Don't Do," have been translated into more than 40 languages. Her TEDx talk,  "The Secret of Becoming Mentally Strong," is one of the most viewed talks of all time.

Verywell / Alex Dos Diaz

• The Scientific Method

Hypothesis Format

Falsifiability of a hypothesis, operational definitions, types of hypotheses, hypotheses examples.

• Collecting Data

Frequently Asked Questions

A hypothesis is a tentative statement about the relationship between two or more  variables. It is a specific, testable prediction about what you expect to happen in a study.

One hypothesis example would be a study designed to look at the relationship between sleep deprivation and test performance might have a hypothesis that states: "This study is designed to assess the hypothesis that sleep-deprived people will perform worse on a test than individuals who are not sleep-deprived."

This article explores how a hypothesis is used in psychology research, how to write a good hypothesis, and the different types of hypotheses you might use.

The Hypothesis in the Scientific Method

In the scientific method , whether it involves research in psychology, biology, or some other area, a hypothesis represents what the researchers think will happen in an experiment. The scientific method involves the following steps:

• Forming a question
• Performing background research
• Creating a hypothesis
• Designing an experiment
• Collecting data
• Analyzing the results
• Drawing conclusions
• Communicating the results

The hypothesis is a prediction, but it involves more than a guess. Most of the time, the hypothesis begins with a question which is then explored through background research. It is only at this point that researchers begin to develop a testable hypothesis. Unless you are creating an exploratory study, your hypothesis should always explain what you  expect  to happen.

In a study exploring the effects of a particular drug, the hypothesis might be that researchers expect the drug to have some type of effect on the symptoms of a specific illness. In psychology, the hypothesis might focus on how a certain aspect of the environment might influence a particular behavior.

Remember, a hypothesis does not have to be correct. While the hypothesis predicts what the researchers expect to see, the goal of the research is to determine whether this guess is right or wrong. When conducting an experiment, researchers might explore a number of factors to determine which ones might contribute to the ultimate outcome.

In many cases, researchers may find that the results of an experiment  do not  support the original hypothesis. When writing up these results, the researchers might suggest other options that should be explored in future studies.

In many cases, researchers might draw a hypothesis from a specific theory or build on previous research. For example, prior research has shown that stress can impact the immune system. So a researcher might hypothesize: "People with high-stress levels will be more likely to contract a common cold after being exposed to the virus than people who have low-stress levels."

In other instances, researchers might look at commonly held beliefs or folk wisdom. "Birds of a feather flock together" is one example of folk wisdom that a psychologist might try to investigate. The researcher might pose a specific hypothesis that "People tend to select romantic partners who are similar to them in interests and educational level."

Elements of a Good Hypothesis

So how do you write a good hypothesis? When trying to come up with a hypothesis for your research or experiments, ask yourself the following questions:

• Is your hypothesis based on your research on a topic?
• Can your hypothesis be tested?
• Does your hypothesis include independent and dependent variables?

Before you come up with a specific hypothesis, spend some time doing background research. Once you have completed a literature review, start thinking about potential questions you still have. Pay attention to the discussion section in the  journal articles you read . Many authors will suggest questions that still need to be explored.

To form a hypothesis, you should take these steps:

• Collect as many observations about a topic or problem as you can.
• Evaluate these observations and look for possible causes of the problem.
• Create a list of possible explanations that you might want to explore.
• After you have developed some possible hypotheses, think of ways that you could confirm or disprove each hypothesis through experimentation. This is known as falsifiability.

In the scientific method ,  falsifiability is an important part of any valid hypothesis.   In order to test a claim scientifically, it must be possible that the claim could be proven false.

Students sometimes confuse the idea of falsifiability with the idea that it means that something is false, which is not the case. What falsifiability means is that  if  something was false, then it is possible to demonstrate that it is false.

One of the hallmarks of pseudoscience is that it makes claims that cannot be refuted or proven false.

A variable is a factor or element that can be changed and manipulated in ways that are observable and measurable. However, the researcher must also define how the variable will be manipulated and measured in the study.

For example, a researcher might operationally define the variable " test anxiety " as the results of a self-report measure of anxiety experienced during an exam. A "study habits" variable might be defined by the amount of studying that actually occurs as measured by time.

These precise descriptions are important because many things can be measured in a number of different ways. One of the basic principles of any type of scientific research is that the results must be replicable.   By clearly detailing the specifics of how the variables were measured and manipulated, other researchers can better understand the results and repeat the study if needed.

Some variables are more difficult than others to define. How would you operationally define a variable such as aggression ? For obvious ethical reasons, researchers cannot create a situation in which a person behaves aggressively toward others.

In order to measure this variable, the researcher must devise a measurement that assesses aggressive behavior without harming other people. In this situation, the researcher might utilize a simulated task to measure aggressiveness.

Hypothesis Checklist

• Does your hypothesis focus on something that you can actually test?
• Does your hypothesis include both an independent and dependent variable?
• Can you manipulate the variables?
• Can your hypothesis be tested without violating ethical standards?

The hypothesis you use will depend on what you are investigating and hoping to find. Some of the main types of hypotheses that you might use include:

• Simple hypothesis : This type of hypothesis suggests that there is a relationship between one independent variable and one dependent variable.
• Complex hypothesis : This type of hypothesis suggests a relationship between three or more variables, such as two independent variables and a dependent variable.
• Null hypothesis : This hypothesis suggests no relationship exists between two or more variables.
• Alternative hypothesis : This hypothesis states the opposite of the null hypothesis.
• Statistical hypothesis : This hypothesis uses statistical analysis to evaluate a representative sample of the population and then generalizes the findings to the larger group.
• Logical hypothesis : This hypothesis assumes a relationship between variables without collecting data or evidence.

A hypothesis often follows a basic format of "If {this happens} then {this will happen}." One way to structure your hypothesis is to describe what will happen to the  dependent variable  if you change the  independent variable .

The basic format might be: "If {these changes are made to a certain independent variable}, then we will observe {a change in a specific dependent variable}."

A few examples of simple hypotheses:

• "Students who eat breakfast will perform better on a math exam than students who do not eat breakfast."
• Complex hypothesis: "Students who experience test anxiety before an English exam will get lower scores than students who do not experience test anxiety."​
• "Motorists who talk on the phone while driving will be more likely to make errors on a driving course than those who do not talk on the phone."

Examples of a complex hypothesis include:

• "People with high-sugar diets and sedentary activity levels are more likely to develop depression."
• "Younger people who are regularly exposed to green, outdoor areas have better subjective well-being than older adults who have limited exposure to green spaces."

Examples of a null hypothesis include:

• "Children who receive a new reading intervention will have scores different than students who do not receive the intervention."
• "There will be no difference in scores on a memory recall task between children and adults."

Examples of an alternative hypothesis:

• "Children who receive a new reading intervention will perform better than students who did not receive the intervention."
• "Adults will perform better on a memory task than children." 

Collecting Data on Your Hypothesis

Once a researcher has formed a testable hypothesis, the next step is to select a research design and start collecting data. The research method depends largely on exactly what they are studying. There are two basic types of research methods: descriptive research and experimental research.

Descriptive Research Methods

Descriptive research such as  case studies ,  naturalistic observations , and surveys are often used when it would be impossible or difficult to  conduct an experiment . These methods are best used to describe different aspects of a behavior or psychological phenomenon.

Once a researcher has collected data using descriptive methods, a correlational study can then be used to look at how the variables are related. This type of research method might be used to investigate a hypothesis that is difficult to test experimentally.

Experimental Research Methods

Experimental methods  are used to demonstrate causal relationships between variables. In an experiment, the researcher systematically manipulates a variable of interest (known as the independent variable) and measures the effect on another variable (known as the dependent variable).

Unlike correlational studies, which can only be used to determine if there is a relationship between two variables, experimental methods can be used to determine the actual nature of the relationship—whether changes in one variable actually  cause  another to change.

A Word From Verywell

The hypothesis is a critical part of any scientific exploration. It represents what researchers expect to find in a study or experiment. In situations where the hypothesis is unsupported by the research, the research still has value. Such research helps us better understand how different aspects of the natural world relate to one another. It also helps us develop new hypotheses that can then be tested in the future.

Some examples of how to write a hypothesis include:

• "Staying up late will lead to worse test performance the next day."
• "People who consume one apple each day will visit the doctor fewer times each year."
• "Breaking study sessions up into three 20-minute sessions will lead to better test results than a single 60-minute study session."

The four parts of a hypothesis are:

• The research question
• The independent variable (IV)
• The dependent variable (DV)
• The proposed relationship between the IV and DV

Castillo M. The scientific method: a need for something better? . AJNR Am J Neuroradiol. 2013;34(9):1669-71. doi:10.3174/ajnr.A3401

Nevid J. Psychology: Concepts and Applications. Wadworth, 2013.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

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The Craft of Writing a Strong Hypothesis

Table of Contents

Writing a hypothesis is one of the essential elements of a scientific research paper. It needs to be to the point, clearly communicating what your research is trying to accomplish. A blurry, drawn-out, or complexly-structured hypothesis can confuse your readers. Or worse, the editor and peer reviewers.

A captivating hypothesis is not too intricate. This blog will take you through the process so that, by the end of it, you have a better idea of how to convey your research paper's intent in just one sentence.

What is a Hypothesis?

The first step in your scientific endeavor, a hypothesis, is a strong, concise statement that forms the basis of your research. It is not the same as a thesis statement , which is a brief summary of your research paper .

The sole purpose of a hypothesis is to predict your paper's findings, data, and conclusion. It comes from a place of curiosity and intuition . When you write a hypothesis, you're essentially making an educated guess based on scientific prejudices and evidence, which is further proven or disproven through the scientific method.

The reason for undertaking research is to observe a specific phenomenon. A hypothesis, therefore, lays out what the said phenomenon is. And it does so through two variables, an independent and dependent variable.

The independent variable is the cause behind the observation, while the dependent variable is the effect of the cause. A good example of this is “mixing red and blue forms purple.” In this hypothesis, mixing red and blue is the independent variable as you're combining the two colors at your own will. The formation of purple is the dependent variable as, in this case, it is conditional to the independent variable.

Different Types of Hypotheses‌

Types of hypotheses

Some would stand by the notion that there are only two types of hypotheses: a Null hypothesis and an Alternative hypothesis. While that may have some truth to it, it would be better to fully distinguish the most common forms as these terms come up so often, which might leave you out of context.

Apart from Null and Alternative, there are Complex, Simple, Directional, Non-Directional, Statistical, and Associative and casual hypotheses. They don't necessarily have to be exclusive, as one hypothesis can tick many boxes, but knowing the distinctions between them will make it easier for you to construct your own.

1. Null hypothesis

A null hypothesis proposes no relationship between two variables. Denoted by H 0 , it is a negative statement like “Attending physiotherapy sessions does not affect athletes' on-field performance.” Here, the author claims physiotherapy sessions have no effect on on-field performances. Even if there is, it's only a coincidence.

2. Alternative hypothesis

Considered to be the opposite of a null hypothesis, an alternative hypothesis is donated as H1 or Ha. It explicitly states that the dependent variable affects the independent variable. A good  alternative hypothesis example is “Attending physiotherapy sessions improves athletes' on-field performance.” or “Water evaporates at 100 °C. ” The alternative hypothesis further branches into directional and non-directional.

• Directional hypothesis: A hypothesis that states the result would be either positive or negative is called directional hypothesis. It accompanies H1 with either the ‘<' or ‘>' sign.
• Non-directional hypothesis: A non-directional hypothesis only claims an effect on the dependent variable. It does not clarify whether the result would be positive or negative. The sign for a non-directional hypothesis is ‘≠.'

3. Simple hypothesis

A simple hypothesis is a statement made to reflect the relation between exactly two variables. One independent and one dependent. Consider the example, “Smoking is a prominent cause of lung cancer." The dependent variable, lung cancer, is dependent on the independent variable, smoking.

4. Complex hypothesis

In contrast to a simple hypothesis, a complex hypothesis implies the relationship between multiple independent and dependent variables. For instance, “Individuals who eat more fruits tend to have higher immunity, lesser cholesterol, and high metabolism.” The independent variable is eating more fruits, while the dependent variables are higher immunity, lesser cholesterol, and high metabolism.

5. Associative and casual hypothesis

Associative and casual hypotheses don't exhibit how many variables there will be. They define the relationship between the variables. In an associative hypothesis, changing any one variable, dependent or independent, affects others. In a casual hypothesis, the independent variable directly affects the dependent.

6. Empirical hypothesis

Also referred to as the working hypothesis, an empirical hypothesis claims a theory's validation via experiments and observation. This way, the statement appears justifiable and different from a wild guess.

Say, the hypothesis is “Women who take iron tablets face a lesser risk of anemia than those who take vitamin B12.” This is an example of an empirical hypothesis where the researcher  the statement after assessing a group of women who take iron tablets and charting the findings.

7. Statistical hypothesis

The point of a statistical hypothesis is to test an already existing hypothesis by studying a population sample. Hypothesis like “44% of the Indian population belong in the age group of 22-27.” leverage evidence to prove or disprove a particular statement.

Characteristics of a Good Hypothesis

Writing a hypothesis is essential as it can make or break your research for you. That includes your chances of getting published in a journal. So when you're designing one, keep an eye out for these pointers:

• A research hypothesis has to be simple yet clear to look justifiable enough.
• It has to be testable — your research would be rendered pointless if too far-fetched into reality or limited by technology.
• It has to be precise about the results —what you are trying to do and achieve through it should come out in your hypothesis.
• A research hypothesis should be self-explanatory, leaving no doubt in the reader's mind.
• If you are developing a relational hypothesis, you need to include the variables and establish an appropriate relationship among them.
• A hypothesis must keep and reflect the scope for further investigations and experiments.

Separating a Hypothesis from a Prediction

Outside of academia, hypothesis and prediction are often used interchangeably. In research writing, this is not only confusing but also incorrect. And although a hypothesis and prediction are guesses at their core, there are many differences between them.

A hypothesis is an educated guess or even a testable prediction validated through research. It aims to analyze the gathered evidence and facts to define a relationship between variables and put forth a logical explanation behind the nature of events.

Predictions are assumptions or expected outcomes made without any backing evidence. They are more fictionally inclined regardless of where they originate from.

For this reason, a hypothesis holds much more weight than a prediction. It sticks to the scientific method rather than pure guesswork. "Planets revolve around the Sun." is an example of a hypothesis as it is previous knowledge and observed trends. Additionally, we can test it through the scientific method.

Whereas "COVID-19 will be eradicated by 2030." is a prediction. Even though it results from past trends, we can't prove or disprove it. So, the only way this gets validated is to wait and watch if COVID-19 cases end by 2030.

Finally, How to Write a Hypothesis

Quick tips on writing a hypothesis

1.  Be clear about your research question

A hypothesis should instantly address the research question or the problem statement. To do so, you need to ask a question. Understand the constraints of your undertaken research topic and then formulate a simple and topic-centric problem. Only after that can you develop a hypothesis and further test for evidence.

2. Carry out a recce

Once you have your research's foundation laid out, it would be best to conduct preliminary research. Go through previous theories, academic papers, data, and experiments before you start curating your research hypothesis. It will give you an idea of your hypothesis's viability or originality.

Making use of references from relevant research papers helps draft a good research hypothesis. SciSpace Discover offers a repository of over 270 million research papers to browse through and gain a deeper understanding of related studies on a particular topic. Additionally, you can use SciSpace Copilot , your AI research assistant, for reading any lengthy research paper and getting a more summarized context of it. A hypothesis can be formed after evaluating many such summarized research papers. Copilot also offers explanations for theories and equations, explains paper in simplified version, allows you to highlight any text in the paper or clip math equations and tables and provides a deeper, clear understanding of what is being said. This can improve the hypothesis by helping you identify potential research gaps.

3. Create a 3-dimensional hypothesis

Variables are an essential part of any reasonable hypothesis. So, identify your independent and dependent variable(s) and form a correlation between them. The ideal way to do this is to write the hypothetical assumption in the ‘if-then' form. If you use this form, make sure that you state the predefined relationship between the variables.

In another way, you can choose to present your hypothesis as a comparison between two variables. Here, you must specify the difference you expect to observe in the results.

4. Write the first draft

Now that everything is in place, it's time to write your hypothesis. For starters, create the first draft. In this version, write what you expect to find from your research.

Clearly separate your independent and dependent variables and the link between them. Don't fixate on syntax at this stage. The goal is to ensure your hypothesis addresses the issue.

5. Proof your hypothesis

After preparing the first draft of your hypothesis, you need to inspect it thoroughly. It should tick all the boxes, like being concise, straightforward, relevant, and accurate. Your final hypothesis has to be well-structured as well.

Research projects are an exciting and crucial part of being a scholar. And once you have your research question, you need a great hypothesis to begin conducting research. Thus, knowing how to write a hypothesis is very important.

Now that you have a firmer grasp on what a good hypothesis constitutes, the different kinds there are, and what process to follow, you will find it much easier to write your hypothesis, which ultimately helps your research.

Now it's easier than ever to streamline your research workflow with SciSpace Discover . Its integrated, comprehensive end-to-end platform for research allows scholars to easily discover, write and publish their research and fosters collaboration.

It includes everything you need, including a repository of over 270 million research papers across disciplines, SEO-optimized summaries and public profiles to show your expertise and experience.

If you found these tips on writing a research hypothesis useful, head over to our blog on Statistical Hypothesis Testing to learn about the top researchers, papers, and institutions in this domain.

Frequently Asked Questions (FAQs)

1. what is the definition of hypothesis.

According to the Oxford dictionary, a hypothesis is defined as “An idea or explanation of something that is based on a few known facts, but that has not yet been proved to be true or correct”.

2. What is an example of hypothesis?

The hypothesis is a statement that proposes a relationship between two or more variables. An example: "If we increase the number of new users who join our platform by 25%, then we will see an increase in revenue."

3. What is an example of null hypothesis?

A null hypothesis is a statement that there is no relationship between two variables. The null hypothesis is written as H0. The null hypothesis states that there is no effect. For example, if you're studying whether or not a particular type of exercise increases strength, your null hypothesis will be "there is no difference in strength between people who exercise and people who don't."

4. What are the types of research?

• Fundamental research

• Applied research

• Qualitative research

• Quantitative research

• Mixed research

• Exploratory research

• Longitudinal research

• Cross-sectional research

• Field research

• Laboratory research

• Fixed research

• Flexible research

• Action research

• Policy research

• Classification research

• Comparative research

• Causal research

• Inductive research

• Deductive research

5. How to write a hypothesis?

• Your hypothesis should be able to predict the relationship and outcome.

• Avoid wordiness by keeping it simple and brief.

• Your hypothesis should contain observable and testable outcomes.

• Your hypothesis should be relevant to the research question.

6. What are the 2 types of hypothesis?

• Null hypotheses are used to test the claim that "there is no difference between two groups of data".

• Alternative hypotheses test the claim that "there is a difference between two data groups".

7. Difference between research question and research hypothesis?

A research question is a broad, open-ended question you will try to answer through your research. A hypothesis is a statement based on prior research or theory that you expect to be true due to your study. Example - Research question: What are the factors that influence the adoption of the new technology? Research hypothesis: There is a positive relationship between age, education and income level with the adoption of the new technology.

8. What is plural for hypothesis?

The plural of hypothesis is hypotheses. Here's an example of how it would be used in a statement, "Numerous well-considered hypotheses are presented in this part, and they are supported by tables and figures that are well-illustrated."

9. What is the red queen hypothesis?

The red queen hypothesis in evolutionary biology states that species must constantly evolve to avoid extinction because if they don't, they will be outcompeted by other species that are evolving. Leigh Van Valen first proposed it in 1973; since then, it has been tested and substantiated many times.

10. Who is known as the father of null hypothesis?

The father of the null hypothesis is Sir Ronald Fisher. He published a paper in 1925 that introduced the concept of null hypothesis testing, and he was also the first to use the term itself.

11. When to reject null hypothesis?

You need to find a significant difference between your two populations to reject the null hypothesis. You can determine that by running statistical tests such as an independent sample t-test or a dependent sample t-test. You should reject the null hypothesis if the p-value is less than 0.05.

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Learn How To Write A Hypothesis For Your Next Research Project!

Undoubtedly, research plays a crucial role in substantiating or refuting our assumptions. These assumptions act as potential answers to our questions. Such assumptions, also known as hypotheses, are considered key aspects of research. In this blog, we delve into the significance of hypotheses. And provide insights on how to write them effectively. So, let’s dive in and explore the art of writing hypotheses together.

Table of Contents

What is a Hypothesis?

A hypothesis is a crucial starting point in scientific research. It is an educated guess about the relationship between two or more variables. In other words, a hypothesis acts as a foundation for a researcher to build their study.

Here are some examples of well-crafted hypotheses:

• Increased exposure to natural sunlight improves sleep quality in adults.

A positive relationship between natural sunlight exposure and sleep quality in adult individuals.

• Playing puzzle games on a regular basis enhances problem-solving abilities in children.

Engaging in frequent puzzle gameplay leads to improved problem-solving skills in children.

• Students and improved learning hecks.

S tudents using online  paper writing service  platforms (as a learning tool for receiving personalized feedback and guidance) will demonstrate improved writing skills. (compared to those who do not utilize such platforms).

• The use of APA format in research papers. 

Using the  APA format  helps students stay organized when writing research papers. Organized students can focus better on their topics and, as a result, produce better quality work.

The Building Blocks of a Hypothesis

To better understand the concept of a hypothesis, let’s break it down into its basic components:

• Variables . A hypothesis involves at least two variables. An independent variable and a dependent variable. The independent variable is the one being changed or manipulated, while the dependent variable is the one being measured or observed.
• Relationship : A hypothesis proposes a relationship or connection between the variables. This could be a cause-and-effect relationship or a correlation between them.
• Testability : A hypothesis should be testable and falsifiable, meaning it can be proven right or wrong through experimentation or observation.

Types of Hypotheses

When learning how to write a hypothesis, it’s essential to understand its main types. These include; alternative hypotheses and null hypotheses. In the following section, we explore both types of hypotheses with examples. 

Alternative Hypothesis (H1)

This kind of hypothesis suggests a relationship or effect between the variables. It is the main focus of the study. The researcher wants to either prove or disprove it. Many research divides this hypothesis into two subsections: 

• Directional 

This type of H1 predicts a specific outcome. Many researchers use this hypothesis to explore the relationship between variables rather than the groups. 

• Non-directional

You can take a guess from the name. This type of H1 does not provide a specific prediction for the research outcome. 

Here are some examples for your better understanding of how to write a hypothesis.

• Consuming caffeine improves cognitive performance.  (This hypothesis predicts that there is a positive relationship between caffeine consumption and cognitive performance.)
• Aerobic exercise leads to reduced blood pressure.  (This hypothesis suggests that engaging in aerobic exercise results in lower blood pressure readings.)
• Exposure to nature reduces stress levels among employees.  (Here, the hypothesis proposes that employees exposed to natural environments will experience decreased stress levels.)
• Listening to classical music while studying increases memory retention.  (This hypothesis speculates that studying with classical music playing in the background boosts students’ ability to retain information.)
• Early literacy intervention improves reading skills in children.  (This hypothesis claims that providing early literacy assistance to children results in enhanced reading abilities.)
• Time management in nursing students. ( Students who use a  nursing research paper writing service  have more time to focus on their studies and can achieve better grades in other subjects. )

Null Hypothesis (H0)

A null hypothesis assumes no relationship or effect between the variables. If the alternative hypothesis is proven to be false, the null hypothesis is considered to be true. Usually a null hypothesis shows no direct correlation between the defined variables. 

Here are some of the examples

• The consumption of herbal tea has no effect on sleep quality.  (This hypothesis assumes that herbal tea consumption does not impact the quality of sleep.)
• The number of hours spent playing video games is unrelated to academic performance.  (Here, the null hypothesis suggests that no relationship exists between video gameplay duration and academic achievement.)
• Implementing flexible work schedules has no influence on employee job satisfaction.  (This hypothesis contends that providing flexible schedules does not affect how satisfied employees are with their jobs.)
• Writing ability of a 7th grader is not affected by reading editorial example. ( There is no relationship between reading an  editorial example  and improving a 7th grader’s writing abilities.) 
• The type of lighting in a room does not affect people’s mood.  (In this null hypothesis, there is no connection between the kind of lighting in a room and the mood of those present.)
• The use of social media during break time does not impact productivity at work.  (This hypothesis proposes that social media usage during breaks has no effect on work productivity.)

As you learn how to write a hypothesis, remember that aiming for clarity, testability, and relevance to your research question is vital. By mastering this skill, you’re well on your way to conducting impactful scientific research. Good luck!

Importance of a Hypothesis in Research

A well-structured hypothesis is a vital part of any research project for several reasons:

• It provides clear direction for the study by setting its focus and purpose.
• It outlines expectations of the research, making it easier to measure results.
• It helps identify any potential limitations in the study, allowing researchers to refine their approach.

In conclusion, a hypothesis plays a fundamental role in the research process. By understanding its concept and constructing a well-thought-out hypothesis, researchers lay the groundwork for a successful, scientifically sound investigation.

How to Write a Hypothesis?

Here are five steps that you can follow to write an effective hypothesis. 

Step 1: Identify Your Research Question

The first step in learning how to compose a hypothesis is to clearly define your research question. This question is the central focus of your study and will help you determine the direction of your hypothesis.

Step 2: Determine the Variables

When exploring how to write a hypothesis, it’s crucial to identify the variables involved in your study. You’ll need at least two variables:

• Independent variable : The factor you manipulate or change in your experiment.
• Dependent variable : The outcome or result you observe or measure, which is influenced by the independent variable.

Step 3: Build the Hypothetical Relationship

In understanding how to compose a hypothesis, constructing the relationship between the variables is key. Based on your research question and variables, predict the expected outcome or connection. This prediction should be specific, testable, and, if possible, expressed in the “If…then” format.

Step 4: Write the Null Hypothesis

When mastering how to write a hypothesis, it’s important to create a null hypothesis as well. The null hypothesis assumes no relationship or effect between the variables, acting as a counterpoint to your primary hypothesis.

Step 5: Review Your Hypothesis

Finally, when learning how to compose a hypothesis, it’s essential to review your hypothesis for clarity, testability, and relevance to your research question. Make any necessary adjustments to ensure it provides a solid basis for your study.

In conclusion, understanding how to write a hypothesis is crucial for conducting successful scientific research. By focusing on your research question and carefully building relationships between variables, you will lay a strong foundation for advancing research and knowledge in your field.

Hypothesis vs. Prediction: What’s the Difference?

Understanding the differences between a hypothesis and a prediction is crucial in scientific research. Often, these terms are used interchangeably, but they have distinct meanings and functions. This segment aims to clarify these differences and explain how to compose a hypothesis correctly, helping you improve the quality of your research projects.

Hypothesis: The Foundation of Your Research

A hypothesis is an educated guess about the relationship between two or more variables. It provides the basis for your research question and is a starting point for an experiment or observational study.

The critical elements for a hypothesis include:

• Specificity: A clear and concise statement that describes the relationship between variables.
• Testability: The ability to test the hypothesis through experimentation or observation.

To learn how to write a hypothesis, it’s essential to identify your research question first and then predict the relationship between the variables.

Prediction: The Expected Outcome

A prediction is a statement about a specific outcome you expect to see in your experiment or observational study. It’s derived from the hypothesis and provides a measurable way to test the relationship between variables.

Here’s an example of how to write a hypothesis and a related prediction:

• Hypothesis: Consuming a high-sugar diet leads to weight gain.
• Prediction: People who consume a high-sugar diet for six weeks will gain more weight than those who maintain a low-sugar diet during the same period.

Key Differences Between a Hypothesis and a Prediction

While a hypothesis and prediction are both essential components of scientific research, there are some key differences to keep in mind:

• A hypothesis is an educated guess that suggests a relationship between variables, while a prediction is a specific and measurable outcome based on that hypothesis.
• A hypothesis can give rise to multiple experiment or observational study predictions.

To conclude, understanding the differences between a hypothesis and a prediction, and learning how to write a hypothesis, are essential steps to form a robust foundation for your research. By creating clear, testable hypotheses along with specific, measurable predictions, you lay the groundwork for scientifically sound investigations.

Here’s a wrap-up for this guide on how to write a hypothesis. We’re confident this article was helpful for many of you. We understand that many students struggle with writing their school research . However, we hope to continue assisting you through our blog tutorial on writing different aspects of academic assignments.

For further information, you can check out our reverent blog or contact our professionals to avail amazing writing services. Paper perk experts tailor assignments to reflect your unique voice and perspectives. Our professionals make sure to stick around till your satisfaction. So what are you waiting for? Pick your required service and order away!

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How to Write a Research Hypothesis: Good & Bad Examples

What is a research hypothesis?

A research hypothesis is an attempt at explaining a phenomenon or the relationships between phenomena/variables in the real world. Hypotheses are sometimes called “educated guesses”, but they are in fact (or let’s say they should be) based on previous observations, existing theories, scientific evidence, and logic. A research hypothesis is also not a prediction—rather, predictions are ( should be) based on clearly formulated hypotheses. For example, “We tested the hypothesis that KLF2 knockout mice would show deficiencies in heart development” is an assumption or prediction, not a hypothesis. 

The research hypothesis at the basis of this prediction is “the product of the KLF2 gene is involved in the development of the cardiovascular system in mice”—and this hypothesis is probably (hopefully) based on a clear observation, such as that mice with low levels of Kruppel-like factor 2 (which KLF2 codes for) seem to have heart problems. From this hypothesis, you can derive the idea that a mouse in which this particular gene does not function cannot develop a normal cardiovascular system, and then make the prediction that we started with. 

What is the difference between a hypothesis and a prediction?

You might think that these are very subtle differences, and you will certainly come across many publications that do not contain an actual hypothesis or do not make these distinctions correctly. But considering that the formulation and testing of hypotheses is an integral part of the scientific method, it is good to be aware of the concepts underlying this approach. The two hallmarks of a scientific hypothesis are falsifiability (an evaluation standard that was introduced by the philosopher of science Karl Popper in 1934) and testability —if you cannot use experiments or data to decide whether an idea is true or false, then it is not a hypothesis (or at least a very bad one).

So, in a nutshell, you (1) look at existing evidence/theories, (2) come up with a hypothesis, (3) make a prediction that allows you to (4) design an experiment or data analysis to test it, and (5) come to a conclusion. Of course, not all studies have hypotheses (there is also exploratory or hypothesis-generating research), and you do not necessarily have to state your hypothesis as such in your paper. 

But for the sake of understanding the principles of the scientific method, let’s first take a closer look at the different types of hypotheses that research articles refer to and then give you a step-by-step guide for how to formulate a strong hypothesis for your own paper.

Types of Research Hypotheses

Hypotheses can be simple , which means they describe the relationship between one single independent variable (the one you observe variations in or plan to manipulate) and one single dependent variable (the one you expect to be affected by the variations/manipulation). If there are more variables on either side, you are dealing with a complex hypothesis. You can also distinguish hypotheses according to the kind of relationship between the variables you are interested in (e.g., causal or associative ). But apart from these variations, we are usually interested in what is called the “alternative hypothesis” and, in contrast to that, the “null hypothesis”. If you think these two should be listed the other way round, then you are right, logically speaking—the alternative should surely come second. However, since this is the hypothesis we (as researchers) are usually interested in, let’s start from there.

Alternative Hypothesis

If you predict a relationship between two variables in your study, then the research hypothesis that you formulate to describe that relationship is your alternative hypothesis (usually H1 in statistical terms). The goal of your hypothesis testing is thus to demonstrate that there is sufficient evidence that supports the alternative hypothesis, rather than evidence for the possibility that there is no such relationship. The alternative hypothesis is usually the research hypothesis of a study and is based on the literature, previous observations, and widely known theories. 

Null Hypothesis

The hypothesis that describes the other possible outcome, that is, that your variables are not related, is the null hypothesis ( H0 ). Based on your findings, you choose between the two hypotheses—usually that means that if your prediction was correct, you reject the null hypothesis and accept the alternative. Make sure, however, that you are not getting lost at this step of the thinking process: If your prediction is that there will be no difference or change, then you are trying to find support for the null hypothesis and reject H1. 

Directional Hypothesis

While the null hypothesis is obviously “static”, the alternative hypothesis can specify a direction for the observed relationship between variables—for example, that mice with higher expression levels of a certain protein are more active than those with lower levels. This is then called a one-tailed hypothesis. 

Another example for a directional one-tailed alternative hypothesis would be that 

H1: Attending private classes before important exams has a positive effect on performance. 

Your null hypothesis would then be that

H0: Attending private classes before important exams has no/a negative effect on performance.

Nondirectional Hypothesis

A nondirectional hypothesis does not specify the direction of the potentially observed effect, only that there is a relationship between the studied variables—this is called a two-tailed hypothesis. For instance, if you are studying a new drug that has shown some effects on pathways involved in a certain condition (e.g., anxiety) in vitro in the lab, but you can’t say for sure whether it will have the same effects in an animal model or maybe induce other/side effects that you can’t predict and potentially increase anxiety levels instead, you could state the two hypotheses like this:

H1: The only lab-tested drug (somehow) affects anxiety levels in an anxiety mouse model.

You then test this nondirectional alternative hypothesis against the null hypothesis:

H0: The only lab-tested drug has no effect on anxiety levels in an anxiety mouse model.

How to Write a Hypothesis for a Research Paper

Now that we understand the important distinctions between different kinds of research hypotheses, let’s look at a simple process of how to write a hypothesis.

Writing a Hypothesis Step:1

Ask a question, based on earlier research. Research always starts with a question, but one that takes into account what is already known about a topic or phenomenon. For example, if you are interested in whether people who have pets are happier than those who don’t, do a literature search and find out what has already been demonstrated. You will probably realize that yes, there is quite a bit of research that shows a relationship between happiness and owning a pet—and even studies that show that owning a dog is more beneficial than owning a cat ! Let’s say you are so intrigued by this finding that you wonder: 

What is it that makes dog owners even happier than cat owners? 

Let’s move on to Step 2 and find an answer to that question.

Writing a Hypothesis Step 2:

Formulate a strong hypothesis by answering your own question. Again, you don’t want to make things up, take unicorns into account, or repeat/ignore what has already been done. Looking at the dog-vs-cat papers your literature search returned, you see that most studies are based on self-report questionnaires on personality traits, mental health, and life satisfaction. What you don’t find is any data on actual (mental or physical) health measures, and no experiments. You therefore decide to make a bold claim come up with the carefully thought-through hypothesis that it’s maybe the lifestyle of the dog owners, which includes walking their dog several times per day, engaging in fun and healthy activities such as agility competitions, and taking them on trips, that gives them that extra boost in happiness. You could therefore answer your question in the following way:

Dog owners are happier than cat owners because of the dog-related activities they engage in.

Now you have to verify that your hypothesis fulfills the two requirements we introduced at the beginning of this resource article: falsifiability and testability . If it can’t be wrong and can’t be tested, it’s not a hypothesis. We are lucky, however, because yes, we can test whether owning a dog but not engaging in any of those activities leads to lower levels of happiness or well-being than owning a dog and playing and running around with them or taking them on trips.  

Writing a Hypothesis Step 3:

Make your predictions and define your variables. We have verified that we can test our hypothesis, but now we have to define all the relevant variables, design our experiment or data analysis, and make precise predictions. You could, for example, decide to study dog owners (not surprising at this point), let them fill in questionnaires about their lifestyle as well as their life satisfaction (as other studies did), and then compare two groups of active and inactive dog owners. Alternatively, if you want to go beyond the data that earlier studies produced and analyzed and directly manipulate the activity level of your dog owners to study the effect of that manipulation, you could invite them to your lab, select groups of participants with similar lifestyles, make them change their lifestyle (e.g., couch potato dog owners start agility classes, very active ones have to refrain from any fun activities for a certain period of time) and assess their happiness levels before and after the intervention. In both cases, your independent variable would be “ level of engagement in fun activities with dog” and your dependent variable would be happiness or well-being . 

Examples of a Good and Bad Hypothesis

Let’s look at a few examples of good and bad hypotheses to get you started.

Good Hypothesis Examples

Bad hypothesis examples, tips for writing a research hypothesis.

If you understood the distinction between a hypothesis and a prediction we made at the beginning of this article, then you will have no problem formulating your hypotheses and predictions correctly. To refresh your memory: We have to (1) look at existing evidence, (2) come up with a hypothesis, (3) make a prediction, and (4) design an experiment. For example, you could summarize your dog/happiness study like this:

(1) While research suggests that dog owners are happier than cat owners, there are no reports on what factors drive this difference. (2) We hypothesized that it is the fun activities that many dog owners (but very few cat owners) engage in with their pets that increases their happiness levels. (3) We thus predicted that preventing very active dog owners from engaging in such activities for some time and making very inactive dog owners take up such activities would lead to an increase and decrease in their overall self-ratings of happiness, respectively. (4) To test this, we invited dog owners into our lab, assessed their mental and emotional well-being through questionnaires, and then assigned them to an “active” and an “inactive” group, depending on… 

Note that you use “we hypothesize” only for your hypothesis, not for your experimental prediction, and “would” or “if – then” only for your prediction, not your hypothesis. A hypothesis that states that something “would” affect something else sounds as if you don’t have enough confidence to make a clear statement—in which case you can’t expect your readers to believe in your research either. Write in the present tense, don’t use modal verbs that express varying degrees of certainty (such as may, might, or could ), and remember that you are not drawing a conclusion while trying not to exaggerate but making a clear statement that you then, in a way, try to disprove . And if that happens, that is not something to fear but an important part of the scientific process.

Similarly, don’t use “we hypothesize” when you explain the implications of your research or make predictions in the conclusion section of your manuscript, since these are clearly not hypotheses in the true sense of the word. As we said earlier, you will find that many authors of academic articles do not seem to care too much about these rather subtle distinctions, but thinking very clearly about your own research will not only help you write better but also ensure that even that infamous Reviewer 2 will find fewer reasons to nitpick about your manuscript. 

Perfect Your Manuscript With Professional Editing

Now that you know how to write a strong research hypothesis for your research paper, you might be interested in our free AI proofreader , Wordvice AI, which finds and fixes errors in grammar, punctuation, and word choice in academic texts. Or if you are interested in human proofreading , check out our English editing services , including research paper editing and manuscript editing .

On the Wordvice academic resources website , you can also find many more articles and other resources that can help you with writing the other parts of your research paper , with making a research paper outline before you put everything together, or with writing an effective cover letter once you are ready to submit.

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How to Write a Hypothesis: The Ultimate Guide with Examples

Hypotheses aren’t about science, experiments, and creating new theories only. While students in science classes formulate a hypothesis every second day, others from non-science fields may find it challenging to write it for an essay or a research paper.

This article is here to reveal the nature of hypothesis writing and help you learn how to write a hypothesis for essays, reports, studies, and any paper type you may need to compose.

We’ve researched all the guides, invited  our top writers  to answer all the FAQs students have on hypothesis writing, gathered hypothesis examples, and put first things first.

Yes, we are ready to make it loud and clear with our essay maker !

Table of Contents:

• Hypothesis vs. prediction
• Theory vs. hypothesis
• Hypothesis characteristics
• Thesis statement vs. hypothesis in an essay
• Main hypothesis sources
• 7 types of hypotheses you may need to write
• Ask a question
• Conduct research
• Write a null hypothesis
• Define variables
• State it using an if-then format
• What is a hypothesis in a research paper?
• How to write a hypothesis: example
• Frequently asked questions

What is a Hypothesis?

A hypothesis is an assumption you make based on existing data and knowledge, stating your predictions about what your research will find. It’s a tentative answer to your research question; it needs to be testable so you could later support or refuse it through further experiments, observations, and any other scientific research methods.

Example of a hypothesis:

Teenagers who get sex education lessons in high school will have lower rates of unplanned pregnancy than those who did not get any sex education.

Your research question here is,  “How effective is high school sex education at reducing teen pregnancies?”  and you formulate a hypothesis to check and explain in your paper.

A hypothesis always proposes a relationship between several variables. As a rule, variables are two – independent and dependent – but it’s also possible to state more variables in your hypothesis essay, to address different aspects of your research question.

• An independent variable  is the one you, as a researcher, can change or control.
• A dependent variable  is the one you, as a researcher, observe and measure based on how an independent variable changes.

In the above example, we can see that an independent variable is “sex education lessons at school” (you assume it is a cause). And a dependent variable here is “lower rates of unplanned pregnancy” (you consider it’s an effect).

Please note that there’s a difference between theory and hypothesis. Also, some guides may tell you that a hypothesis equals a  thesis statement  in essay writing, though a slight difference between these two is yet in place.

More on that below.

Hypothesis vs. Prediction

Given they both are a kind of guess, many people get a hypothesis and a prediction confused. But while a difference is slight, it’s yet critical:

• A hypothesis  explains  why something happens based on  scientific methods  (testing, experiments, data analysis, etc.).
• A prediction  suggests  that something will happen based on  observations .

You write a hypothesis using a statement with variables, while a prediction consists of “if-then” schemes stating about future happenings.

We can also say that a prediction is something you expect to happen if your hypothesis statement is true.

Theory vs. Hypothesis

• A hypothesis states a  suggested  explanation of a phenomenon, which you’ll later support or refuse through testing and other scientific methods.
• A theory is an  already tested , well-substantiated explanation backed by evidence.

You write a hypothesis using a statement with variables, while a theory represents a phenomenon that is already widely accepted and supported by data.

Examples of theories include Einstein’s theory of relativity, the Big Bang theory, Charles Darwin’s theory of evolution, and many others.

For your hypothesis to become a theory, you need to test all the aspects under various circumstances and prove it with well-substantiated facts. You can also use theories to make predictions about something unexplained and then turn those predictions into hypotheses to test and support (or refuse).

It’s worth noting that testings don’t stop once a hypothesis becomes a theory: Science is ongoing, and any theory can become disproved one day.

Hypothesis Characteristics

And now it’s high time to reveal the characteristics of your statement to become a reasonable hypothesis.

They are five:

• A cause-effect relationship between variables . When writing a hypothesis, make sure your one variable causes another one to change (or not change.) There should always be a cause-effect relationship between them.
• Testable nature.  Formulate a hypothesis that you can  test  to support or refuse. You should be able to conduct experiments and control your thesis when working on it.
• Precise and accurate variables.  Your hypothesis’s independent and dependent variables need to be specific and clear for the audience to understand.
• Explained in simple language.   Research papers  and academic writing, in general, are often challenging to understand for an average reader, so do your best to write a hypothesis so there would be no confusion or ambiguity.
• Ethical.  We can test many things, but there’s always a question about  what  we should test or make a subject to experiments. Avoid questionable or taboo topics when thinking about your hypothesis outline.

Thesis Statement vs. Hypothesis in an Essay

When looking for information on writing a hypothesis essay, you can find guides telling that it’s the same with writing a thesis statement for your  argumentative essay . This notion is not entirely true, and there’s still a slight difference between these two:

• A thesis statement is a sentence or two in your essay introduction that summarizes a central claim you’ll  discuss and prove  in the essay body. You’ll use arguments, evidence, and examples for that. 
• A hypothesis is a one-sentence prediction based on the relationships between reliables that you’ll  test   and then  prove or disprove  in the essay body. You’ll use experiments, observation, and quantitative research for that.

Writing a research study should have a thesis statement; if your research intends to prove/disprove something, it will also contain a hypothesis statement.

Feel free to try our  online thesis statement generator  to get a better idea of writing strong thesis statements for your essays.

Main Hypothesis Sources

Once they ask you to write a hypothesis essay, it would be great to have some sources for inspiration at hand, wouldn’t it?

Where to go for  creative ideas ? Where to research hypothesis and come up with new statements for your essay? What sources do science students use?

The primary hypothesis sources are four:

• Scientific theories that already exist
• Some general patterns affecting our thinking process
• Analogies between different phenomena we observe
• The previous knowledge and observations from studies and our experience

Depending on the niche and type of hypothesis you need to cover, you’ll use corresponding sources for research and further hypothesis  outline .

Below you’ll learn what types of hypotheses exist and how to write a hypothesis statement so it would sound scientific.

7 Types of Hypotheses You May Need to Write

So many sources, so many hypothesis classifications they offer. Some specify eight, ten, and even 13  types of hypotheses, depending on the factors like the number of variables you use and the experiment stage you’re in. Some insist that only two significant kinds of hypotheses exist: alternative and null; others call them directional and non-directional hypotheses, respectively.

Let’s put things straight and explain the types of hypotheses you may need to write in essays . They are seven, with examples for you to get a better idea of “who is who,” as they say.

1) Simple hypothesis

It’s the most common type of hypothesis to use in college papers, predicting the direct relationship between two variables in your experiment: a single dependent and a single independent one.

How to write a simple hypothesis? Use an “if-then” format.

For example:

• Everyday smoking leads to lung cancer.  ( If  you smoke every day,  then  you’ll get lung cancer.)
• Covering wounds with a bandage heals with fewer scars.  ( If  you bandage an injury,  then  it will heal with less scarring.)

2) Complex hypothesis

This one also predicts the relationship between variables but has more than two dependent and independent variables to check for supporting or refusing.

• Overweight people who eat junk food have higher chances of getting excessive cholesterol and heart disease.  (Two independent variables are  extra weight  and  junk food consumption ; two dependent variables are  heart disease  and  high cholesterol level .)
• The higher illiteracy in a society, the higher is poverty and crime rate.  (One independent variable is higher  illiteracy , and two dependent variables are higher  poverty  and higher  crime rate .)

3) Null hypothesis

How to write a null hypothesis? It’s the default position stating there’s no relationship between variables, i.e., there will be no difference in the experiment’s results. 

Scientists use null hypotheses to disapprove or reaffirm given statements.

• A person’s productivity doesn’t suffer from getting six instead of eight hours of sleep.
• All daisies are equal in the number of their petals.
• Sex education in high school doesn’t affect unplanned pregnancy rates.

4) Alternative hypothesis

When searching for information on how to write a hypothesis online, you might see queries like “how to write a null and alternative hypothesis.” That’s because alternative hypothesis statements come in place when someone tries to  disprove  a null hypothesis, so these two go hand in hand.

In other words, an alternative hypothesis  directly contradicts  a null one.

Also, an alternative hypothesis is one you may want to develop when the experiment on your initial statement doesn’t bring any result.

• H0 (a null hypothesis): Light color does not affect plant growth.
• H1 (an alternative hypothesis): Light color affects plant growth.
• H0: Cats have no preference for food based on shape.
• H1: Cats prefer round kibbles to other food shapes.

5) Logical hypothesis

This one is a hypothesis you can verify logically, though there’s little to no substantial evidence for it. Here you use reasoning and logical connections instead of proven facts, statistics, or background research.

Logical hypotheses remain assumptions until you put them to the test and support/refuse them after experiments.

• Dogs won’t survive without water.  (Here, you make an assumption based on the fact humans can’t live without water, so dogs, as mammals, won’t do that, either.)
• Creatures from Mars won’t breathe in the Earth’s atmosphere.  (Here, you assume that they won’t because we humans can’t breathe on Mars.)

6) Empirical hypothesis

In plain English, it’s a currently-tested hypothesis that can yet be changed or adjusted according to the results of experiments. It’s a working hypothesis that’s yet to confirm or refuse:

Empirical hypotheses are those going through tests, trials, or errors via observation and experiments right now and can be changed later around the independent variables. As a rule, it’s the opposite of a logical hypothesis.

• Women taking vitamin E grow hair faster than those taking vitamin K.
• Mushrooms grow faster at 22 degrees Celsius than 27 degrees Celsius.

7) Statistical hypothesis

This one is a hypothesis you can test and verify statistically based on data and quantitative research methods.

How to write a statistical hypothesis?

Statistical hypotheses have quantifiable variables and are usually about the nature of a population. It comes in handy when it’s impossible to test or survey every single person in a group. To write such a hypothesis, you’ll need to state the data about your topic using a portion of people.

• 35% of the poor in the USA are illiterate.
• 60% of people talking on the phone while driving have been in at least one car accident.
• 56% of marriages end in divorce.

How to Write a Hypothesis: 5 Steps

First and foremost, it’s worth mentioning that hypothesis writing is the third step of the scientific method scholars, researchers, and science students use to test theories, answer questions, and solve problems.

The steps are six, and they are as follows:

• Observation:  Decide on an issue to solve or a phenomenon to explain. 
• Question:  Develop a research question you’d like to check.
• Hypothesis (we are here!):  Formulate a hypothesis that answers your question and that you can test.
• Prediction:  Determine the experiment’s outcome based on your hypothesis.
• Test:  Do your experiments to test your prediction.
• Analyze:  Review the results to see if your hypothesis was correct. If it wasn’t, you could revise it by formulating another one and going through the whole process again.

In academic writing, hypotheses come as something relating to thesis statements: It’s a sentence or two summarizing a central claim you’ll discuss and prove in your essay.

It stands to reason that hypothesis writing is more common for STEM disciplines like math, chemistry, biology, physics, or economics. Here’s how to craft it, step by step:

1) Ask a Question

This stage is about choosing an  argumentative topic for your essay . Except as assigned by a teacher or a thesis tutor, you can start with an issue of your interest, so your curiosity and questions on it come naturally.

Why is it the way it is?

Why does it happen the way it goes?

What causes this factor you see around?

Your question needs to be  clear ,  specific , and  manageable  so you can research it, test it, and analyze the results. Also, ensure it’s not too broad so you can focus on its particular aspect to formulate your hypothesis.

For example:   How does eating apples affect human dental health?

2) Conduct Research

Now you’ll need to check and collect some information on your question to understand if it’s possible to formulate a research hypothesis. It’s so-called initial research to find an answer to your question.

This stage is not about proving or disproving your hypothesis. Here you’ll collect facts, theories, past studies, and any other information that will help prove or disprove it so that you can make an apparent assumption: Based on the gathered information, you’ll be able to make a logical guess.

Depending on your question, this initial research can  take some time  from you. You may need to read a few books on the topic, find and compare some scientific materials, etc. Or, it may be enough to perform a quick web search to find the answer.

3) Write a Null Hypothesis

To ease the process of hypothesis writing, start with a null hypothesis. As you already know, it’s the default position stating no relationship between variables. (And that’s why it’s so easy to formulate.)

So, take your initial question and write it as a negative statement. In our example with eating apples and dental health, the null hypothesis would sound like that:

Eating apples do not affect a human’s dental health.

(Which means your teeth condition will be the same, whether you eat apples or not.)

4) Define Variables

And now, for your hypothesis to become testable so you can do experiments, make predictions, and analyze the results, think of dependent and independent variables for it.

As you already know, independent variables are the factors you, as a researcher, can control during experiments to check the hypothesis. 

Example:   Eating one apple a day will positively affect a human’s dental health.

“One apple” is the independent variable, and “dental health” is the dependent variable here.

You’ll come up with variables based on your initial research. With some facts and studies already in place, you can predict how your experiment may go and what its results may be. Use this knowledge to shape variables into a clear and concise hypothesis.

And remember:

The way you’ll frame a hypothesis into one sentence depends on a few factors: the type of your project and the type of hypothesis you want to use. 

Simple hypotheses are most common for student research papers , so we use them as examples here. With that in mind, the final stage of hypothesis writing comes:

5) State It Using an If-Then Format

To formulate a hypothesis the best way possible, try framing it with an “if-then” format. Like this:

If a human eats one apple per day, then he gets healthier teeth.

This format becomes tricky when working with complex hypotheses with multiple variables, but it’s reliable when expressing the cause-and-effect relationship. 

The “if-then” format allows you to refine a hypothesis and ensure its final version:

• is clear, specific, and testable;
• has relevant variables;
• identifies the relationship between variables;
• suggests a predicted result of the experiment.

Another way to check if you’ve shaped a hypothesis properly is using the “PICOT” model, best explained via  visual examples . According to this model, a hypothesis should have five components:

P –  population: the specific group or individual of your research

I –  interest: the primary concern of your study

C –  comparison: the leading alternative group

O –  outcome: the expected result

T – time: the length of your experimen t

Always write a hypothesis in  the present tense  because it refers to research that’s currently being conducted.

What is a Hypothesis in a Research Paper?

A hypothesis in a research paper is a statement demonstrating a prediction you believe may happen based on research, evidence, and experimentation.

Often used and associated with science, hypotheses are assumptions (or guesses) for researchers and scholars to prove or disprove via tests and experiments. And they later write a hypothesis essay to analyze and report the experiments’ results to the scientific community.

When writing a hypothesis for a research paper, you should still describe an experiment to prove or disprove it. However, hypothesis essays don’t necessarily have to be on STEM disciplines and tests taken in a lab:

• You can  write a book critique  and state a hypothesis on its or its author’s impact on literature. 
• Or, your hypothesis essay can be about how demographics change a country’s language.
• Or, you’ll  write an autobiography  with a focus on the hypothesis that one particular event influenced your further deeds. 

In such essays, you won’t spend hours in labs to prove that your hypothesis is true; you’ll do that through research, arguments, data, interviews, or previous studies.

Is a thesis statement a hypothesis?

As we already mentioned, there’s a slight difference between these two. While  thesis statements  in essays are about  summarizing  a central claim you’ll discuss,  hypotheses  are about  predictions  or  assumptions  you’ll prove (or disprove) in the essay body.

You don’t have to prove that your hypothesis is correct. The point is to research, test, and experiment to see if you’re right. Even if your hypothesis appears incorrect in  conclusion , it doesn’t mean the quality of your essay is poor.

How to Write a Hypothesis: Example

And now, let’s go to even more hypothesis examples for you to understand the nature of this writing better.

Here goes another example of a hypothesis:

Frequently Asked Questions

What is a hypothesis in an essay.

A hypothesis in an essay is a statement demonstrating a prediction you believe may happen based on research, evidence, and experimentation. As a rule, it predicts the relationship between a few variables; and you can prove or disprove it by the end of your tests and experiments on it.

How long is a hypothesis?

A hypothesis is one-sentence long. It should be clear, direct, and testable through experimentation, predicting a possible outcome.

How to write a hypothesis statement?

First of all, you need to state a problem you’re trying to solve, do some initial research on it to learn the background and predict an outcome, and then think of both dependent and independent variables for your hypothesis. For that, research or brainstorm ideas for your stated problem’s solution. Finally, write your hypothesis as an “if-then” statement, using your variables.

How to write a null hypothesis?

A null hypothesis is the default position stating no relationship between variables. To write it, you need to assume an experiment has no effect regardless of variables; use denying. 

For example, you want to learn whether teens are better at math than adults. In this case, your null hypothesis will be, “ Age does not affect math ability.”

How to write an alternative hypothesis?

An alternative hypothesis directly contradicts   a null one, trying to disprove it. To write it, you need to assume there’s enough evidence to reject the null hypothesis; but never state your claim is already proven true or false.

In contrast with a null hypothesis, typically marked as H0, an alternative one gets an H1 mark. For example:

H0: If I put Mentos into a Coke bottle, there will be no reaction.

H1: If I put Mentos into a Coke bottle, there will be a big explosion.

How to write a simple hypothesis?

A simple hypothesis is the most common one to use in college papers. It predicts the direct relationship between two variables — one dependent and one independent, — so write a simple hypothesis with an “if-then” format.

For example: 

If a postpartum woman has low hemoglobin, then she gets higher risk of infection.

A statistical hypothesis claims the value of a single population characteristic or relationship between several population characteristics. To write it, you first need to specify null and alternative hypotheses, set the significance level, calculate the statistics, and draw a conclusion. Ensure that your variables are quantifiable. For example: 

A population mean is equal to 10.

How to write a hypothesis for a lab report?

To write a hypothesis for a lab report, you should state the issue, predict its outcome based on tests and experiments, define the variables, and formulate a hypothesis as an if-then statement. For example:

If one puts Mentos in a bottle with Coke, there will be an explosion.

How to write a hypothesis for a research paper?

• Decide on a question/problem you want to check/solve.
• Conduct initial research to collect as much background information and observation about your topic as you can.
• Evaluate this information to assume possible causes and possible explanations.
• Define variables you’ll use to confirm or disprove your hypothesis through experimentation.
• Write down a one-sentence hypothesis using the present tense.

Now that you know how to write a hypothesis, it’s high time to give it a try:

• Address your curiosity.
• Ask questions.
• Conduct some initial research.
• Come up with a type of hypothesis that fits your expectations most.

Think of variables for your hypothesis, and ensure it’s clear, concise, and measurable (testable). Then write it in the present tense — and you’ve got it!

Any questions left? Don’t hesitate to write in the comments (yes, we read them and reply!) or ask  Bid4Papers writers  directly!

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General Education

Think about something strange and unexplainable in your life. Maybe you get a headache right before it rains, or maybe you think your favorite sports team wins when you wear a certain color. If you wanted to see whether these are just coincidences or scientific fact, you would form a hypothesis, then create an experiment to see whether that hypothesis is true or not. 

But what is a hypothesis, anyway? If you’re not sure about what a hypothesis is--or how to test for one!--you’re in the right place. This article will teach you everything you need to know about hypotheses, including: 

• Defining the term “hypothesis” 
• Providing hypothesis examples 
• Giving you tips for how to write your own hypothesis 

So let’s get started!

What Is a Hypothesis?

Merriam Webster defines a hypothesis as “an assumption or concession made for the sake of argument.” In other words, a hypothesis is an educated guess . Scientists make a reasonable assumption--or a hypothesis--then design an experiment to test whether it’s true or not. Keep in mind that in science, a hypothesis should be testable. You have to be able to design an experiment that tests your hypothesis in order for it to be valid. 

As you could assume from that statement, it’s easy to make a bad hypothesis. But when you’re holding an experiment, it’s even more important that your guesses be good...after all, you’re spending time (and maybe money!) to figure out more about your observation. That’s why we refer to a hypothesis as an educated guess--good hypotheses are based on existing data and research to make them as sound as possible.

Hypotheses are one part of what’s called the scientific method .  Every (good) experiment or study is based in the scientific method. The scientific method gives order and structure to experiments and ensures that interference from scientists or outside influences does not skew the results. It’s important that you understand the concepts of the scientific method before holding your own experiment. Though it may vary among scientists, the scientific method is generally made up of six steps (in order):

• Observation
• Asking questions
• Forming a hypothesis
• Analyze the data
• Communicate your results

You’ll notice that the hypothesis comes pretty early on when conducting an experiment. That’s because experiments work best when they’re trying to answer one specific question. And you can’t conduct an experiment until you know what you’re trying to prove!

Independent and Dependent Variables 

After doing your research, you’re ready for another important step in forming your hypothesis: identifying variables. Variables are basically any factor that could influence the outcome of your experiment . Variables have to be measurable and related to the topic being studied.

There are two types of variables:  independent variables and dependent variables. I ndependent variables remain constant . For example, age is an independent variable; it will stay the same, and researchers can look at different ages to see if it has an effect on the dependent variable. 

Speaking of dependent variables... dependent variables are subject to the influence of the independent variable , meaning that they are not constant. Let’s say you want to test whether a person’s age affects how much sleep they need. In that case, the independent variable is age (like we mentioned above), and the dependent variable is how much sleep a person gets. 

Variables will be crucial in writing your hypothesis. You need to be able to identify which variable is which, as both the independent and dependent variables will be written into your hypothesis. For instance, in a study about exercise, the independent variable might be the speed at which the respondents walk for thirty minutes, and the dependent variable would be their heart rate. In your study and in your hypothesis, you’re trying to understand the relationship between the two variables.

Elements of a Good Hypothesis

The best hypotheses start by asking the right questions . For instance, if you’ve observed that the grass is greener when it rains twice a week, you could ask what kind of grass it is, what elevation it’s at, and if the grass across the street responds to rain in the same way. Any of these questions could become the backbone of experiments to test why the grass gets greener when it rains fairly frequently.

As you’re asking more questions about your first observation, make sure you’re also making more observations . If it doesn’t rain for two weeks and the grass still looks green, that’s an important observation that could influence your hypothesis. You'll continue observing all throughout your experiment, but until the hypothesis is finalized, every observation should be noted.

Finally, you should consult secondary research before writing your hypothesis . Secondary research is comprised of results found and published by other people. You can usually find this information online or at your library. Additionally, m ake sure the research you find is credible and related to your topic. If you’re studying the correlation between rain and grass growth, it would help you to research rain patterns over the past twenty years for your county, published by a local agricultural association. You should also research the types of grass common in your area, the type of grass in your lawn, and whether anyone else has conducted experiments about your hypothesis. Also be sure you’re checking the quality of your research . Research done by a middle school student about what minerals can be found in rainwater would be less useful than an article published by a local university.

Writing Your Hypothesis

Once you’ve considered all of the factors above, you’re ready to start writing your hypothesis. Hypotheses usually take a certain form when they’re written out in a research report.

When you boil down your hypothesis statement, you are writing down your best guess and not the question at hand . This means that your statement should be written as if it is fact already, even though you are simply testing it.

The reason for this is that, after you have completed your study, you'll either accept or reject your if-then or your null hypothesis. All hypothesis testing examples should be measurable and able to be confirmed or denied. You cannot confirm a question, only a statement! 

In fact, you come up with hypothesis examples all the time! For instance, when you guess on the outcome of a basketball game, you don’t say, “Will the Miami Heat beat the Boston Celtics?” but instead, “I think the Miami Heat will beat the Boston Celtics.” You state it as if it is already true, even if it turns out you’re wrong. You do the same thing when writing your hypothesis.

Additionally, keep in mind that hypotheses can range from very specific to very broad.  These hypotheses can be specific, but if your hypothesis testing examples involve a broad range of causes and effects, your hypothesis can also be broad.  

The Two Types of Hypotheses

Now that you understand what goes into a hypothesis, it’s time to look more closely at the two most common types of hypothesis: the if-then hypothesis and the null hypothesis.

#1: If-Then Hypotheses

First of all, if-then hypotheses typically follow this formula:

If ____ happens, then ____ will happen.

The goal of this type of hypothesis is to test the causal relationship between the independent and dependent variable. It’s fairly simple, and each hypothesis can vary in how detailed it can be. We create if-then hypotheses all the time with our daily predictions. Here are some examples of hypotheses that use an if-then structure from daily life: 

• If I get enough sleep, I’ll be able to get more work done tomorrow.
• If the bus is on time, I can make it to my friend’s birthday party. 
• If I study every night this week, I’ll get a better grade on my exam. 

In each of these situations, you’re making a guess on how an independent variable (sleep, time, or studying) will affect a dependent variable (the amount of work you can do, making it to a party on time, or getting better grades). 

You may still be asking, “What is an example of a hypothesis used in scientific research?” Take one of the hypothesis examples from a real-world study on whether using technology before bed affects children’s sleep patterns. The hypothesis read s:

“We hypothesized that increased hours of tablet- and phone-based screen time at bedtime would be inversely correlated with sleep quality and child attention.”

It might not look like it, but this is an if-then statement. The researchers basically said, “If children have more screen usage at bedtime, then their quality of sleep and attention will be worse.” The sleep quality and attention are the dependent variables and the screen usage is the independent variable. (Usually, the independent variable comes after the “if” and the dependent variable comes after the “then,” as it is the independent variable that affects the dependent variable.) This is an excellent example of how flexible hypothesis statements can be, as long as the general idea of “if-then” and the independent and dependent variables are present.

#2: Null Hypotheses

Your if-then hypothesis is not the only one needed to complete a successful experiment, however. You also need a null hypothesis to test it against. In its most basic form, the null hypothesis is the opposite of your if-then hypothesis . When you write your null hypothesis, you are writing a hypothesis that suggests that your guess is not true, and that the independent and dependent variables have no relationship .

One null hypothesis for the cell phone and sleep study from the last section might say: 

“If children have more screen usage at bedtime, their quality of sleep and attention will not be worse.” 

In this case, this is a null hypothesis because it’s asking the opposite of the original thesis! 

Conversely, if your if-then hypothesis suggests that your two variables have no relationship, then your null hypothesis would suggest that there is one. So, pretend that there is a study that is asking the question, “Does the amount of followers on Instagram influence how long people spend on the app?” The independent variable is the amount of followers, and the dependent variable is the time spent. But if you, as the researcher, don’t think there is a relationship between the number of followers and time spent, you might write an if-then hypothesis that reads:

“If people have many followers on Instagram, they will not spend more time on the app than people who have less.”

In this case, the if-then suggests there isn’t a relationship between the variables. In that case, one of the null hypothesis examples might say:

“If people have many followers on Instagram, they will spend more time on the app than people who have less.”

You then test both the if-then and the null hypothesis to gauge if there is a relationship between the variables, and if so, how much of a relationship. 

4 Tips to Write the Best Hypothesis

If you’re going to take the time to hold an experiment, whether in school or by yourself, you’re also going to want to take the time to make sure your hypothesis is a good one. The best hypotheses have four major elements in common: plausibility, defined concepts, observability, and general explanation.

#1: Plausibility

At first glance, this quality of a hypothesis might seem obvious. When your hypothesis is plausible, that means it’s possible given what we know about science and general common sense. However, improbable hypotheses are more common than you might think. 

Imagine you’re studying weight gain and television watching habits. If you hypothesize that people who watch more than  twenty hours of television a week will gain two hundred pounds or more over the course of a year, this might be improbable (though it’s potentially possible). Consequently, c ommon sense can tell us the results of the study before the study even begins.

Improbable hypotheses generally go against  science, as well. Take this hypothesis example: 

“If a person smokes one cigarette a day, then they will have lungs just as healthy as the average person’s.” 

This hypothesis is obviously untrue, as studies have shown again and again that cigarettes negatively affect lung health. You must be careful that your hypotheses do not reflect your own personal opinion more than they do scientifically-supported findings. This plausibility points to the necessity of research before the hypothesis is written to make sure that your hypothesis has not already been disproven.

#2: Defined Concepts

The more advanced you are in your studies, the more likely that the terms you’re using in your hypothesis are specific to a limited set of knowledge. One of the hypothesis testing examples might include the readability of printed text in newspapers, where you might use words like “kerning” and “x-height.” Unless your readers have a background in graphic design, it’s likely that they won’t know what you mean by these terms. Thus, it’s important to either write what they mean in the hypothesis itself or in the report before the hypothesis.

Here’s what we mean. Which of the following sentences makes more sense to the common person?

If the kerning is greater than average, more words will be read per minute.

If the space between letters is greater than average, more words will be read per minute.

For people reading your report that are not experts in typography, simply adding a few more words will be helpful in clarifying exactly what the experiment is all about. It’s always a good idea to make your research and findings as accessible as possible. 

Good hypotheses ensure that you can observe the results. 

#3: Observability

In order to measure the truth or falsity of your hypothesis, you must be able to see your variables and the way they interact. For instance, if your hypothesis is that the flight patterns of satellites affect the strength of certain television signals, yet you don’t have a telescope to view the satellites or a television to monitor the signal strength, you cannot properly observe your hypothesis and thus cannot continue your study.

Some variables may seem easy to observe, but if you do not have a system of measurement in place, you cannot observe your hypothesis properly. Here’s an example: if you’re experimenting on the effect of healthy food on overall happiness, but you don’t have a way to monitor and measure what “overall happiness” means, your results will not reflect the truth. Monitoring how often someone smiles for a whole day is not reasonably observable, but having the participants state how happy they feel on a scale of one to ten is more observable. 

In writing your hypothesis, always keep in mind how you'll execute the experiment.

#4: Generalizability 

Perhaps you’d like to study what color your best friend wears the most often by observing and documenting the colors she wears each day of the week. This might be fun information for her and you to know, but beyond you two, there aren’t many people who could benefit from this experiment. When you start an experiment, you should note how generalizable your findings may be if they are confirmed. Generalizability is basically how common a particular phenomenon is to other people’s everyday life.

Let’s say you’re asking a question about the health benefits of eating an apple for one day only, you need to realize that the experiment may be too specific to be helpful. It does not help to explain a phenomenon that many people experience. If you find yourself with too specific of a hypothesis, go back to asking the big question: what is it that you want to know, and what do you think will happen between your two variables?

Hypothesis Testing Examples

We know it can be hard to write a good hypothesis unless you’ve seen some good hypothesis examples. We’ve included four hypothesis examples based on some made-up experiments. Use these as templates or launch pads for coming up with your own hypotheses.

Experiment #1: Students Studying Outside (Writing a Hypothesis)

You are a student at PrepScholar University. When you walk around campus, you notice that, when the temperature is above 60 degrees, more students study in the quad. You want to know when your fellow students are more likely to study outside. With this information, how do you make the best hypothesis possible?

You must remember to make additional observations and do secondary research before writing your hypothesis. In doing so, you notice that no one studies outside when it’s 75 degrees and raining, so this should be included in your experiment. Also, studies done on the topic beforehand suggested that students are more likely to study in temperatures less than 85 degrees. With this in mind, you feel confident that you can identify your variables and write your hypotheses:

If-then: “If the temperature in Fahrenheit is less than 60 degrees, significantly fewer students will study outside.”

Null: “If the temperature in Fahrenheit is less than 60 degrees, the same number of students will study outside as when it is more than 60 degrees.”

These hypotheses are plausible, as the temperatures are reasonably within the bounds of what is possible. The number of people in the quad is also easily observable. It is also not a phenomenon specific to only one person or at one time, but instead can explain a phenomenon for a broader group of people.

To complete this experiment, you pick the month of October to observe the quad. Every day (except on the days where it’s raining)from 3 to 4 PM, when most classes have released for the day, you observe how many people are on the quad. You measure how many people come  and how many leave. You also write down the temperature on the hour. 

After writing down all of your observations and putting them on a graph, you find that the most students study on the quad when it is 70 degrees outside, and that the number of students drops a lot once the temperature reaches 60 degrees or below. In this case, your research report would state that you accept or “failed to reject” your first hypothesis with your findings.

Experiment #2: The Cupcake Store (Forming a Simple Experiment)

Let’s say that you work at a bakery. You specialize in cupcakes, and you make only two colors of frosting: yellow and purple. You want to know what kind of customers are more likely to buy what kind of cupcake, so you set up an experiment. Your independent variable is the customer’s gender, and the dependent variable is the color of the frosting. What is an example of a hypothesis that might answer the question of this study?

Here’s what your hypotheses might look like: 

If-then: “If customers’ gender is female, then they will buy more yellow cupcakes than purple cupcakes.”

Null: “If customers’ gender is female, then they will be just as likely to buy purple cupcakes as yellow cupcakes.”

This is a pretty simple experiment! It passes the test of plausibility (there could easily be a difference), defined concepts (there’s nothing complicated about cupcakes!), observability (both color and gender can be easily observed), and general explanation ( this would potentially help you make better business decisions ).

Experiment #3: Backyard Bird Feeders (Integrating Multiple Variables and Rejecting the If-Then Hypothesis)

While watching your backyard bird feeder, you realized that different birds come on the days when you change the types of seeds. You decide that you want to see more cardinals in your backyard, so you decide to see what type of food they like the best and set up an experiment. 

However, one morning, you notice that, while some cardinals are present, blue jays are eating out of your backyard feeder filled with millet. You decide that, of all of the other birds, you would like to see the blue jays the least. This means you'll have more than one variable in your hypothesis. Your new hypotheses might look like this: 

If-then: “If sunflower seeds are placed in the bird feeders, then more cardinals will come than blue jays. If millet is placed in the bird feeders, then more blue jays will come than cardinals.”

Null: “If either sunflower seeds or millet are placed in the bird, equal numbers of cardinals and blue jays will come.”

Through simple observation, you actually find that cardinals come as often as blue jays when sunflower seeds or millet is in the bird feeder. In this case, you would reject your “if-then” hypothesis and “fail to reject” your null hypothesis . You cannot accept your first hypothesis, because it’s clearly not true. Instead you found that there was actually no relation between your different variables. Consequently, you would need to run more experiments with different variables to see if the new variables impact the results.

Experiment #4: In-Class Survey (Including an Alternative Hypothesis)

You’re about to give a speech in one of your classes about the importance of paying attention. You want to take this opportunity to test a hypothesis you’ve had for a while: 

If-then: If students sit in the first two rows of the classroom, then they will listen better than students who do not.

Null: If students sit in the first two rows of the classroom, then they will not listen better or worse than students who do not.

You give your speech and then ask your teacher if you can hand out a short survey to the class. On the survey, you’ve included questions about some of the topics you talked about. When you get back the results, you’re surprised to see that not only do the students in the first two rows not pay better attention, but they also scored worse than students in other parts of the classroom! Here, both your if-then and your null hypotheses are not representative of your findings. What do you do?

This is when you reject both your if-then and null hypotheses and instead create an alternative hypothesis . This type of hypothesis is used in the rare circumstance that neither of your hypotheses is able to capture your findings . Now you can use what you’ve learned to draft new hypotheses and test again! 

Key Takeaways: Hypothesis Writing

The more comfortable you become with writing hypotheses, the better they will become. The structure of hypotheses is flexible and may need to be changed depending on what topic you are studying. The most important thing to remember is the purpose of your hypothesis and the difference between the if-then and the null . From there, in forming your hypothesis, you should constantly be asking questions, making observations, doing secondary research, and considering your variables. After you have written your hypothesis, be sure to edit it so that it is plausible, clearly defined, observable, and helpful in explaining a general phenomenon.

Writing a hypothesis is something that everyone, from elementary school children competing in a science fair to professional scientists in a lab, needs to know how to do. Hypotheses are vital in experiments and in properly executing the scientific method . When done correctly, hypotheses will set up your studies for success and help you to understand the world a little better, one experiment at a time.

What’s Next?

If you’re studying for the science portion of the ACT, there’s definitely a lot you need to know. We’ve got the tools to help, though! Start by checking out our ultimate study guide for the ACT Science subject test. Once you read through that, be sure to download our recommended ACT Science practice tests , since they’re one of the most foolproof ways to improve your score. (And don’t forget to check out our expert guide book , too.)

If you love science and want to major in a scientific field, you should start preparing in high school . Here are the science classes you should take to set yourself up for success.

If you’re trying to think of science experiments you can do for class (or for a science fair!), here’s a list of 37 awesome science experiments you can do at home

Need more help with this topic? Check out Tutorbase!

Our vetted tutor database includes a range of experienced educators who can help you polish an essay for English or explain how derivatives work for Calculus. You can use dozens of filters and search criteria to find the perfect person for your needs.

Ashley Sufflé Robinson has a Ph.D. in 19th Century English Literature. As a content writer for PrepScholar, Ashley is passionate about giving college-bound students the in-depth information they need to get into the school of their dreams.

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HOW TO WRITE A HYPOTHESIS

Writing a hypothesis

Frequently, when we hear the word ‘hypothesis’, we immediately think of an investigation in the form of a science experiment. This is not surprising, as science is the subject area where we are usually first introduced to the term.

However, the term hypothesis also applies to investigations and research in many diverse areas and branches of learning, leaving us wondering how to write a hypothesis in statistics and how to write a hypothesis in sociology alongside how to write a hypothesis in a lab report.

We can find hypotheses at work in areas as wide-ranging as history, psychology, technology, engineering, literature, design, and economics. With such a vast array of uses, hypothesis writing is an essential skill for our students to develop.

What Is a Hypothesis?

A hypothesis is a proposed or predicted answer to a question. The purpose of writing a hypothesis is to follow it up by testing that answer. This test can take the form of an investigation, experiment, or writing a research paper that will ideally prove or disprove the hypothesis’s prediction.

Despite this element of the unknown, a hypothesis is not the same thing as a guess. Though the hypothesis writer typically has some uncertainty, the creation of the hypothesis is generally based on some background knowledge and research of the topic. The writer believes in the likelihood of a specific outcome, but further investigation will be required to validate or falsify the claim made in their hypothesis.

In this regard, a hypothesis is more along the lines of an ‘educated guess’ that has been based on observation and/or background knowledge.

A hypothesis should:

• Make a prediction
• Provide reasons for that prediction
• Specifies a relationship between two or more variables
• Be testable
• Be falsifiable
• Be expressed simply and concisely
• Serves as the starting point for an investigation, an experiment, or another form of testing

A COMPLETE TEACHING UNIT ON WRITING PROCEDURAL TEXTS

This HUGE BUNDLE  offers 97 PAGES of hands-on, printable, and digital media resources. Your students will be WRITING procedures with STRUCTURE, INSIGHT AND KNOWLEDGE like never before.

Hypothesis Examples for Students and Teachers

If students listen to classical music while studying, they will retain more information.

Mold growth is affected by the level of moisture in the air.

Students who sleep for longer at night retain more information at school.

Employees who work more than 40 hours per week show higher instances of clinical depression.

Time spent on social media is negatively correlated to the length of the average attention span.

People who spend time exercising regularly are less likely to develop a cardiovascular illness.

If people are shorter, then they are more likely to live longer.

What are Variables in a Hypothesis?

Variables are an essential aspect of any hypothesis. But what exactly do we mean by this term?

Variables are changeable factors or characteristics that may affect the outcome of an investigation. Things like age, weight, the height of participants, length of time, the difficulty of reading material, etc., could all be considered variables.

Usually, an investigation or experiment will focus on how different variables affect each other. So, it is vital to define the variables clearly if you are to measure the effect they have on each other accurately.

There are three main types of variables to consider in a hypothesis. These are:

• Independent Variables
• Dependent Variables

The Independent Variable

The independent variable is unaffected by any of the other variables in the hypothesis. We can think of the independent variable as the assumed cause .

The Dependent Variable

The dependent variable is affected by the other variables in the hypothesis. It is what is being tested or measured. We can think of the dependent variable as the assumed effect .

For example, let’s investigate the correlation between test scores across different age groups. The age groups will be the independent variable, and the test scores will be the dependent variable .

Now that we know what variables are let’s look at how they work in the various types of hypotheses.

Types of Hypotheses

There are many different types of hypotheses, and it is helpful to know the most common of these if the student selects the most suitable tool for their specific job.

The most frequently used types of hypotheses are:

The Simple Hypothesis

The complex hypothesis, the empirical hypothesis, the null hypothesis, the directional hypothesis, the non-directional hypothesis.

This straightforward hypothesis type predicts the relationship between an independent and dependent variable.

Example: Eating too much sugar causes weight gain.

This type of hypothesis is based on the relationship between multiple independent and/or dependent variables.

Example: Overeating sugar causes weight gain and poor cardiovascular health.

Also called a working hypothesis, an empirical hypothesis is tested through observation and experimentation. An empirical hypothesis is produced through investigation and trial and error. As a result, the empirical hypothesis may change its independent variables in the process.

Example: Exposure to sunlight helps lettuces grow faster.

This hypothesis states that there is no significant or meaningful relationship between specific variables.

Example: Exposure to sunlight does not affect the rate of a plant’s growth.

This type of hypothesis predicts the direction of an effect between variables, i.e., positive or negative.

Example: A high-quality education will result in a greater number of career opportunities.

Similar to the directional hypothesis, this type of hypothesis predicts the nature of the effect but not the direction that effect will go in.

Example: A high-quality education will affect the number of available career opportunities.

How to Write a Hypothesis : A STEP-BY-STEP GUIDE

• Ask a Question

The starting point for any hypothesis is asking a question. This is often called the research question . The research question is the student’s jumping-off point to developing their hypothesis. This question should be specific and answerable. The hypothesis will be the point where the research question is transformed into a declarative statement.

Ideally, the questions the students develop should be relational, i.e., they should look at how two or more variables relate to each other as described above. For example, what effect does sunlight have on the growth rate of lettuce?

• Research the Question

The research is an essential part of the process of developing a hypothesis. Students will need to examine the ideas and studies that are out there on the topic already. By examining the literature already out there on their topic, they can begin to refine their questions on the subject and begin to form predictions based on their studies.

Remember, a hypothesis can be defined as an ‘educated’ guess. This is the part of the process where the student educates themself on the subject before making their ‘guess.’

• Define Your Variables

By now, your students should be ready to form their preliminary hypotheses. To do this, they should first focus on defining their independent and dependent variables. Now may be an excellent opportunity to remind students that the independent variables are the only variables that they have complete control over, while dependent variables are what is tested or measured.

• Develop Your Preliminary Hypotheses

With variables defined, students can now work on a draft of their hypothesis. To do this, they can begin by examining their variables and the available data and then making a statement about the relationship between these variables. Students must brainstorm and reflect on what they expect to happen in their investigation before making a prediction upon which to base their hypothesis. It’s worth noting, too, that hypotheses are typically, though not exclusively, written in the present tense.

Students revisit the different types of hypotheses described earlier in this article. Students select three types of hypotheses and frame their preliminary hypotheses according to each criteria. Which works best? Which type is the least suitable for the student’s hypothesis?

• Finalize the Phrasing

By now, students will have made a decision on which type of hypothesis suits their needs best, and it will now be time to finalize the wording of their hypotheses. There are various ways that students can choose to frame their hypothesis, but below, we will examine the three most common ways.

The If/Then Phrasing

This is the most common type of hypothesis and perhaps the easiest to write for students. It follows a simple ‘ If x, then y ’ formula that makes a prediction that forms the basis of a subsequent investigation.

If I eat more calories, then I will gain weight.

Correlation Phrasing

Another way to phrase a hypothesis is to focus on the correlation between the variables. This typically takes the form of a statement that defines that relationship positively or negatively.

The more calories that are eaten beyond the daily recommended requirements, the greater the weight gain will be.

Comparison Phrasing

This form of phrasing is applicable when comparing two groups and focuses on the differences that the investigation is expected to reveal between those two groups.

Those who eat more calories will gain more weight than those who eat fewer calories.

Questions to ask during this process include:

• What tense is the hypothesis written in?
• Does the hypothesis contain both independent and dependent variables?
• Is the hypothesis framed using the if/then, correlation, or comparison framework (or other similar suitable structure)?
• Is the hypothesis worded clearly and concisely?
• Does the hypothesis make a prediction?
• Is the prediction specific?
• Is the hypothesis testable?
• Gather Data to Support/Disprove Your Hypothesis

If the purpose of a hypothesis is to provide a reason to pursue an investigation, then the student will need to gather related information together to fuel that investigation.

While, by definition, a hypothesis leans towards a specific outcome, the student shouldn’t worry if their investigations or experiments ultimately disprove their hypothesis. The hypothesis is the starting point; the destination is not preordained. This is the very essence of the scientific method. Students should trust the results of their investigation to speak for themselves. Either way, the outcome is valuable information.

TOP 10 TIPS FOR WRITING A STRONG HYPOTHESIS

• Begin by asking a clear and compelling question. Your hypothesis is a response to the inquiry you are eager to explore.
• Keep it simple and straightforward. Avoid using complex phrases or making multiple predictions in one hypothesis.
• Use the right format. A strong hypothesis is often written in the form of an “if-then” statement.
• Ensure that your hypothesis is testable. Your hypothesis should be something that can be verified through experimentation or observation.
• Stay objective. Your hypothesis should be based on facts and evidence, not personal opinions or prejudices.
• Examine different possibilities. Don’t limit yourself to just one hypothesis. Consider alternative explanations for your observations.
• Stay open to the possibility of being wrong. Your hypothesis is just a prediction, and it may not always be correct.
• Search for evidence to support your hypothesis. Investigate existing literature and gather data that supports your hypothesis.
• Make sure that your hypothesis is pertinent. Your hypothesis should be relevant to the question you are trying to investigate.
• Revise your hypothesis as necessary. If new evidence arises that contradicts your hypothesis, you may need to adjust it accordingly.

HYPOTHESIS TEACHING STRATEGIES AND ACTIVITIES

When teaching young scientists and writers, it’s essential to remember that the process of formulating a hypothesis is not always straightforward. It’s easy to make mistakes along the way, but with a bit of guidance, you can ensure your students avoid some of the most common pitfalls like these.

• Don’t let your students be too vague. Remind them that when formulating a hypothesis, it’s essential to be specific and avoid using overly general language. Make sure their hypothesis is clear and easy to understand.
• Being swayed by personal biases will impact their hypothesis negatively. It’s important to stay objective when formulating a hypothesis, so avoid letting personal biases or opinions get in the way.
• Not starting with a clear question is the number one stumbling block for students, so before forming a hypothesis, you need to reinforce the need for a clear understanding of the question they’re trying to answer. Start with a question that is specific and relevant.

Hypothesis Warmup Activity: First, organize students into small working groups of four or five. Then, set each group to collect a list of hypotheses. They can find these by searching on the Internet or finding examples in textbooks . When students have gathered together a suitable list of hypotheses, have them identify the independent and dependent variables in each case. They can underline each of these in different colors.

It may be helpful for students to examine each hypothesis to identify the ‘cause’ elements and the ‘effect’ elements. When students have finished, they can present their findings to the class.

Task 1: Set your students the task of coming up with an investigation-worthy question on a topic that interests them. This activity works particularly well for groups.

Task 2: Students search for existing information and theories on their topic on the Internet or in the library. They should take notes where necessary and begin to form an assumption or prediction based on their reading and research that they can investigate further.

Task 3: When working with a talking partner, can students identify which of their partner’s independent and dependent variables? If not, then one partner will need to revisit the definitions for the two types of variables as outlined earlier.

Task 4: Organize students into smaller groups and task them with presenting their hypotheses to each other. Students can then provide feedback before the final wording of each hypothesis is finalized.

Perhaps due to their short length, learning how to create a well-written hypothesis is not typically afforded much time in the curriculum.

However, though they are brief in length, they are complex enough to warrant focused learning and practice in class, particularly given their importance across many curriculum areas.

Learning how to write a hypothesis works well as a standalone writing skill. It can also form part of a more comprehensive academic or scientific writing study that focuses on how to write a research question, develop a theory, etc.

As with any text type, practice improves performance. By following the processes outlined above, students will be well on their way to writing their own hypotheses competently in no time.

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How to Write a Good Hypothesis in a Research Paper

Asking a question is the first step in conducting a study. Interesting questions and research hypotheses are being asked and developed by scientists worldwide. However, the study’s findings’ strength hinges on the research hypothesis’s quality. Researchers may benefit from examining examples of research hypotheses to learn the fundamentals of creating a strong research hypothesis.

What Is A Research Hypothesis?

A hypothesis is a research question that states what is expected to be the result of the study. A hypothesis is necessary for any experiment in science or research. Therefore, you should be deliberate and thorough in constructing your hypothesis before committing it to paper. A poorly constructed hypothesis can have a devastating effect on the quality of an experiment and its results if it is not carefully and thoughtfully crafted.

Difference between Hypothesis and Thesis

Thesis and hypothesis are two of the most common terms in the research study. A hypothesis is a tentative statement of fact predicated on existing information that serves as a jumping-off point for additional study. A thesis is an argument’s main or central claim that must be defended and demonstrated. A thesis can be found in any research study, while a hypothesis is something that can only be found in experimental quantitative research.

It is possible to either confirm or refute a hypothesis. Quantitative researchers frequently employ this method to predict the dynamics between different variables.

Simply put, the thesis statement of an essay or research paper is the single, overarching claim made by the author(s). It appears in studies employing both quantitative and qualitative approaches. The body of an essay or research report is where the thesis statement is elaborated upon, backed up by evidence, and explained to the reader.

Every piece of research needs to have a clear and concise thesis statement. The research report will include a hypothesis statement if the study aims to prove or disprove something.

Difference between Hypothesis and Research Question

Research questions and hypotheses are easily confused with one another. Both are crucial steps in the Scientific Method but differ in important ways. Like a hypothesis, a research question is primarily focused and brief. Conversely, a hypothesis is a prediction that attempts to foretell the relationship between two (or more) variables and is based on the proposed research. However, closed hypotheses like “The relationship between A and B will be C” do not encourage discussion and debate like open research questions.

If you have a well-defined research topic and a good idea of how your variables will be interrelated, then you can use a hypothesis to guide your study. The very existence of a hypothesis will affect how you create your experiment.

This type of inquiry is frequently used for novel, unexplored subjects. In this case, it is harder to see how the various factors are related. While we can’t make predictions, we can look into potential factors. There are many different types of research questions that can be asked.

What Makes a Good Hypothesis for a Research Paper

The hypothesis makes a particular prediction about the outcome of an experiment, making it amenable to testing. Create hypotheses based on the theory and existing research that supports them.

• Developing a solid research hypothesis requires more work than simply taking a stab in the dark. Specifically, you may pose a question in your hypothesis that can be investigated further during your reading and thinking.
• Many experts in the writing profession feel that a hypothesis’s strength and efficacy may be improved by emphasizing a few key features. The following are examples of these traits:
• To be believable, the hypothesis should be explicit and specific.
• It should be evident whether you have picked a hypothesis type that will state the link between the two variables.
• A strong hypothesis is particular and has a clear scope for further research and testing.
• The hypothesis must be explained plainly. Remember that the hypothesis’s simplicity has nothing to do with its relevance.
• Only a compelling hypothesis will entice readers to read the full work. As a result, make certain that you carefully establish a hypothesis for your investigation.

How to Write a Good Research Hypothesis

A testable hypothesis is more than simply a statement. It is a somewhat detailed statement that must provide a clear introduction to a scientific investigation, its aims, and potential consequences. However, certain critical factors must be considered while developing a persuasive hypothesis.

Step 1: Explain the problem you’re trying to fix.

Always refer back to the hypothesis to ensure that you have a clear understanding of the experiment’s purpose.

Step 2: Make an effort to express the hypothesis in the form of an if-then statement.

Use this outline as a guide: A predetermined outcome is expected if a specific course of action is taken.

Step 3: Identify the variables

Manipulated, controllable, and modifiable variables are known as independent variables. Separating independent variables from other factors is a crucial part of the study design.

The label “reliant” suggests that these variables rely on something else to be calculated. When the independent variable shifts, it affects them.

Types of Research Hypothesis

7 Types of hypotheses for scientific study have been identified which are as follows.

Simple Hypothesis

It is used to predict the correlation between a single dependent and independent variable.

Complex Hypothesis

It is used to foretell how independent and dependent variables are related to one another.

Directional Hypothesis

It is theoretically generated and provides the preferred path toward establishing the connection between variables. In addition, it shows how seriously the researcher takes an issue.

Non-Directional Hypothesis

It does not foresee the way the connection will go or its form. In cases where there is no relevant explanation or when new evidence directly contradicts previous studies, a neutral hypothesis is used.

Associative and Causal Hypothesis

The associative hypothesis defines interdependency between variables. When you alter one, you must also alter the other. The causal hypothesis, on the other hand, suggests an influence on the dependent as a result of manipulating the independent variable.

Null Hypothesis

The researcher’s conclusion that no correlation exists between two variables is supported by the null hypothesis, a negative statement. Changing the independent variable won’t change the dependent one. What’s more, it claims that the outcomes are merely coincidental and, as such; don’t do much to bolster the hypothesis being evaluated.

Alternative Hypothesis

This section explains why the study’s findings are important and how the two variables are related. The experimental hypothesis states the expected change in the dependent variable as a function of the change in the independent variable. More importantly, it claims that the findings provide substantial evidence in favor of the hypothesis being tested. We can’t skip over the procedures we just went through.

A robust, testable hypothesis is essential to the reliability of your experiment and its results. There aren’t many benefits to developing a robust, testable hypothesis other than the fact that it makes us think carefully and specifically about the potential outcomes of an experiment. This allows us to fully grasp the significance of the posed question and the myriad factors in this investigation. Additionally, this facilitates the development of well-informed predictions based on existing data. Consequently, it would serve the research very well to formulate a hypothesis. Here are some examples of plausible hypotheses that can be tested.

Moreover, before beginning your scientific experiments, you should construct a robust, falsifiable research hypothesis. A hypothesis is considered testable if it can be verified or refuted by empirical evidence.

Data Collection for Research Hypothesis

Once a researcher has a hypothesis that can be tested, they can move on to selecting a research strategy and collecting data. The research strategy is highly topic-dependent. Research methods can be categorized into two broad categories: descriptive and experimental.

Research Techniques for a Descriptive Study

Case studies, naturalistic observations, and surveys are all examples of descriptive research methods that are used when conducting an experiment that would be impractical or impossible.

These techniques shine when used to elaborate on various facets of behavior or psychological phenomenon.

Once descriptive data has been collected, it can be used with a correlational analysis to reveal the interconnections between the various factors. Using this strategy, researchers could look into a hypothesis that would be hard to test in the lab.

Experimenting Research Methods

Experiments are used to prove that there is a connection between two variables. The goal of an experiment is to determine the effect of a change in one variable (the independent variable) on a second (the dependent variable).

The nature of the relationship between two variables can be determined through experimental methods, while correlational studies can only establish the existence of a relationship.

Example Hypothesis for Research

Looking at how your hypothesis stacks up against the rest of the research in your field is probably the best way to test its validity. No need to reinvent the wheel when crafting a solid research hypothesis. As you research and organize your hypothesis, you will inevitably come across those of others. These can serve as useful examples of good and bad research hypothesis writing to help you determine what to include in your own.

Here are some basic examples to help you get going.

After age 60, eating an apple daily can reduce the number of times you need medical attention.

Discount airlines have a higher rate of customer complaints. Compared to full-service airlines, those in the budget travel category offer lower fares and fewer extras. (The phrase “budget airline” is included in the hypothesis.)

Employees report greater happiness in their work lives when their schedules are more malleable. –

All of the above examples are concrete in that they can be observed and measured, and their predictions can be tested using standard experimental methods; however, it’s important to keep in mind that your hypothesis will likely evolve as your investigation continues.

Bottom Line

An essential part of any scientific inquiry, the hypothesis states what scientists anticipate discovering as a result of their study or experiment. Research is valuable even if it does not confirm a particular hypothesis because it increases our knowledge of the interplay between various components of the natural world and aids in formulating new hypotheses for future investigation.

Frequently asked questions-FAQs

Can a prediction be derived from a hypothesis.

No, a hypothesis is a possibility, not a prediction. Through experimentation, the researcher “hopes” to obtain a particular sort of result. The hypothesis is this possible or anticipated result.

How long should a hypothesis typically be?

A good rule of thumb for a succinct and direct hypothesis statement is to limit it to no more than 20 words. A successful hypothesis is one that can be tested. In other words, students must ensure that their hypotheses contain information on their intended outcomes and methods.

What precisely is a bad hypothesis?

A hypothesis indicating that something “could” have an influence on something else suggests that you lack the confidence to make a definitive declaration; in this instance, you cannot expect your readers to have faith in your research.

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Whether you're writing a scientific paper or an essay for your literature class, the premise of your essay may be to form a hypothesis to construct your piece around. A hypothesis is a statement that demonstrates a prediction that you think will happen based off of well-researched evidence or experimentation. Though it sounds somewhat straightforward, coming up with the appropriate hypothesis for a paper can actually be a rather difficult task, and writing that hypothesis so that it aligns with the rest of your essay can also be challenging.

A Hypothesis for an Experiment vs. a Hypothesis for a Paper

Typically, a hypothesis connects directly with a scientific experiment. After conducting some brief research and making subtle observations, students in science classes usually write a hypothesis and test it out with an experiment. Perhaps they submit lab notes with their hypothesis but not much else. However, a hypothesis can actually be much longer when it's for an essay.

When you write a hypothesis for a paper, you should still be doing an experiment to prove that your hypothesis is true. However, it doesn't necessarily have to link to something completely scientific, and the experiment does not always need to be in a lab. Your hypothesis could be about an author's impact on literature, how demographics are changing the language of a country or how parents should expose their children to more peanut butter. To prove that a hypothesis like that is true, you won't be doing it with a Bunson burner and a flask. You'll be doing it through research, interviews and solid data that can support your point.

How to Decide on a Hypothesis

To decide on your hypothesis, your teacher may give you a topic or ask that you find one that you're interested in. The first step, then, is to do some research. Your goal is to find something that must be testable, yet you are able to prove even before testing it.

A hypothesis, therefore, should be an educated guess that essentially states, "If I (do this), then (this) will happen." It should show your ability to predict the relationship between two or more variables. Likewise, even though your guess is educated and likely to prove your hypothesis, your hypothesis should also be something that can be proven false. Some things you can do to help decide your hypothesis are:

• Conduct observations
• Evaluate observations closely.
• Look for a potential problem.
• Think of explanations of why that problem exists.
• See if you can prove and disprove your explanation.

Writing Your Hypothesis

Once you've decided on what you think you want your hypothesis to be, you want to make sure it fits the general hypothesis structure, "If (I do this), then (this) will happen." If you can fit your hypothesis into that, then you're that much closer to being able to write it. It's always a good idea to look at some examples so that you know whether or not you're on the right track:

"As children become more dependent on electronics, their attention spans will decrease."

"As more traditional jobs become automated, people will need to find more creative ways to make money."

These are strong hypotheses because they can be tested, explained and proved to be true, but they can also be proven false, which is essential to any hypothesis you write.

"As pollution levels increase, it is inevitable that more people will die of cancer that's directly related to the pollutants."

"Girls who grow up with older brothers will be more likely to marry over the age of 30."

These are okay hypotheses, but there are a few problems with them. They are either too vague, too specific or too generalized, which makes them difficult to prove. Also, using terms like, "more likely" isn't definite, and therefore, hard to prove as well. The writer is not directly linking one variable to another. These hypotheses also cannot necessarily be falsified, simply because there's not enough of a solid statement to prove them wrong or right the first place.

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Hana LaRock is a freelance content writer from New York, currently living in Mexico. Before becoming a writer, Hana worked as a teacher for several years in the U.S. and around the world. She has her teaching certification in Elementary Education and Special Education, as well as a TESOL certification. Please visit her website, www.hanalarockwriting.com, to learn more.

How to Develop a Good Research Hypothesis

The story of a research study begins by asking a question. Researchers all around the globe are asking curious questions and formulating research hypothesis. However, whether the research study provides an effective conclusion depends on how well one develops a good research hypothesis. Research hypothesis examples could help researchers get an idea as to how to write a good research hypothesis.

This blog will help you understand what is a research hypothesis, its characteristics and, how to formulate a research hypothesis

Table of Contents

What is Hypothesis?

Hypothesis is an assumption or an idea proposed for the sake of argument so that it can be tested. It is a precise, testable statement of what the researchers predict will be outcome of the study.  Hypothesis usually involves proposing a relationship between two variables: the independent variable (what the researchers change) and the dependent variable (what the research measures).

What is a Research Hypothesis?

Research hypothesis is a statement that introduces a research question and proposes an expected result. It is an integral part of the scientific method that forms the basis of scientific experiments. Therefore, you need to be careful and thorough when building your research hypothesis. A minor flaw in the construction of your hypothesis could have an adverse effect on your experiment. In research, there is a convention that the hypothesis is written in two forms, the null hypothesis, and the alternative hypothesis (called the experimental hypothesis when the method of investigation is an experiment).

Characteristics of a Good Research Hypothesis

As the hypothesis is specific, there is a testable prediction about what you expect to happen in a study. You may consider drawing hypothesis from previously published research based on the theory.

A good research hypothesis involves more effort than just a guess. In particular, your hypothesis may begin with a question that could be further explored through background research.

To help you formulate a promising research hypothesis, you should ask yourself the following questions:

• Is the language clear and focused?
• What is the relationship between your hypothesis and your research topic?
• Is your hypothesis testable? If yes, then how?
• What are the possible explanations that you might want to explore?
• Does your hypothesis include both an independent and dependent variable?
• Can you manipulate your variables without hampering the ethical standards?
• Does your research predict the relationship and outcome?
• Is your research simple and concise (avoids wordiness)?
• Is it clear with no ambiguity or assumptions about the readers’ knowledge
• Is your research observable and testable results?
• Is it relevant and specific to the research question or problem?

The questions listed above can be used as a checklist to make sure your hypothesis is based on a solid foundation. Furthermore, it can help you identify weaknesses in your hypothesis and revise it if necessary.

Source: Educational Hub

How to formulate a research hypothesis.

A testable hypothesis is not a simple statement. It is rather an intricate statement that needs to offer a clear introduction to a scientific experiment, its intentions, and the possible outcomes. However, there are some important things to consider when building a compelling hypothesis.

1. State the problem that you are trying to solve.

Make sure that the hypothesis clearly defines the topic and the focus of the experiment.

2. Try to write the hypothesis as an if-then statement.

Follow this template: If a specific action is taken, then a certain outcome is expected.

3. Define the variables

Independent variables are the ones that are manipulated, controlled, or changed. Independent variables are isolated from other factors of the study.

Dependent variables , as the name suggests are dependent on other factors of the study. They are influenced by the change in independent variable.

4. Scrutinize the hypothesis

Evaluate assumptions, predictions, and evidence rigorously to refine your understanding.

Types of Research Hypothesis

The types of research hypothesis are stated below:

1. Simple Hypothesis

It predicts the relationship between a single dependent variable and a single independent variable.

2. Complex Hypothesis

It predicts the relationship between two or more independent and dependent variables.

3. Directional Hypothesis

It specifies the expected direction to be followed to determine the relationship between variables and is derived from theory. Furthermore, it implies the researcher’s intellectual commitment to a particular outcome.

4. Non-directional Hypothesis

It does not predict the exact direction or nature of the relationship between the two variables. The non-directional hypothesis is used when there is no theory involved or when findings contradict previous research.

5. Associative and Causal Hypothesis

The associative hypothesis defines interdependency between variables. A change in one variable results in the change of the other variable. On the other hand, the causal hypothesis proposes an effect on the dependent due to manipulation of the independent variable.

6. Null Hypothesis

Null hypothesis states a negative statement to support the researcher’s findings that there is no relationship between two variables. There will be no changes in the dependent variable due the manipulation of the independent variable. Furthermore, it states results are due to chance and are not significant in terms of supporting the idea being investigated.

7. Alternative Hypothesis

It states that there is a relationship between the two variables of the study and that the results are significant to the research topic. An experimental hypothesis predicts what changes will take place in the dependent variable when the independent variable is manipulated. Also, it states that the results are not due to chance and that they are significant in terms of supporting the theory being investigated.

Research Hypothesis Examples of Independent and Dependent Variables

Research Hypothesis Example 1 The greater number of coal plants in a region (independent variable) increases water pollution (dependent variable). If you change the independent variable (building more coal factories), it will change the dependent variable (amount of water pollution).

Research Hypothesis Example 2 What is the effect of diet or regular soda (independent variable) on blood sugar levels (dependent variable)? If you change the independent variable (the type of soda you consume), it will change the dependent variable (blood sugar levels)

You should not ignore the importance of the above steps. The validity of your experiment and its results rely on a robust testable hypothesis. Developing a strong testable hypothesis has few advantages, it compels us to think intensely and specifically about the outcomes of a study. Consequently, it enables us to understand the implication of the question and the different variables involved in the study. Furthermore, it helps us to make precise predictions based on prior research. Hence, forming a hypothesis would be of great value to the research. Here are some good examples of testable hypotheses.

More importantly, you need to build a robust testable research hypothesis for your scientific experiments. A testable hypothesis is a hypothesis that can be proved or disproved as a result of experimentation.

Importance of a Testable Hypothesis

To devise and perform an experiment using scientific method, you need to make sure that your hypothesis is testable. To be considered testable, some essential criteria must be met:

• There must be a possibility to prove that the hypothesis is true.
• There must be a possibility to prove that the hypothesis is false.
• The results of the hypothesis must be reproducible.

Without these criteria, the hypothesis and the results will be vague. As a result, the experiment will not prove or disprove anything significant.

What are your experiences with building hypotheses for scientific experiments? What challenges did you face? How did you overcome these challenges? Please share your thoughts with us in the comments section.

Frequently Asked Questions

The steps to write a research hypothesis are: 1. Stating the problem: Ensure that the hypothesis defines the research problem 2. Writing a hypothesis as an 'if-then' statement: Include the action and the expected outcome of your study by following a ‘if-then’ structure. 3. Defining the variables: Define the variables as Dependent or Independent based on their dependency to other factors. 4. Scrutinizing the hypothesis: Identify the type of your hypothesis

Hypothesis testing is a statistical tool which is used to make inferences about a population data to draw conclusions for a particular hypothesis.

Hypothesis in statistics is a formal statement about the nature of a population within a structured framework of a statistical model. It is used to test an existing hypothesis by studying a population.

Research hypothesis is a statement that introduces a research question and proposes an expected result. It forms the basis of scientific experiments.

The different types of hypothesis in research are: • Null hypothesis: Null hypothesis is a negative statement to support the researcher’s findings that there is no relationship between two variables. • Alternate hypothesis: Alternate hypothesis predicts the relationship between the two variables of the study. • Directional hypothesis: Directional hypothesis specifies the expected direction to be followed to determine the relationship between variables. • Non-directional hypothesis: Non-directional hypothesis does not predict the exact direction or nature of the relationship between the two variables. • Simple hypothesis: Simple hypothesis predicts the relationship between a single dependent variable and a single independent variable. • Complex hypothesis: Complex hypothesis predicts the relationship between two or more independent and dependent variables. • Associative and casual hypothesis: Associative and casual hypothesis predicts the relationship between two or more independent and dependent variables. • Empirical hypothesis: Empirical hypothesis can be tested via experiments and observation. • Statistical hypothesis: A statistical hypothesis utilizes statistical models to draw conclusions about broader populations.

Wow! You really simplified your explanation that even dummies would find it easy to comprehend. Thank you so much.

Thanks a lot for your valuable guidance.

I enjoy reading the post. Hypotheses are actually an intrinsic part in a study. It bridges the research question and the methodology of the study.

Useful piece!

This is awesome.Wow.

It very interesting to read the topic, can you guide me any specific example of hypothesis process establish throw the Demand and supply of the specific product in market

Nicely explained

It is really a useful for me Kindly give some examples of hypothesis

It was a well explained content ,can you please give me an example with the null and alternative hypothesis illustrated

clear and concise. thanks.

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Good to learn

Thanks a lot for explaining to my level of understanding

Explained well and in simple terms. Quick read! Thank you

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Research Paper Hypothesis

Last updated on: Mar 5, 2024

How To Write A Hypothesis In A Research Paper - A Simple Guide

By: Barbara P.

Reviewed By:

Published on: Mar 6, 2024

Writing a good hypothesis can be tricky, especially for new researchers. If your hypothesis isn't clear, your research paper might confuse readers about what you're studying and what are the anticipated outcomes of your study.

This confusion not only makes your research less trustworthy but also makes it harder for others to repeat or build on your work.

This blog post is here to help you understand how to state a hypothesis in a research paper. We'll go through it step by step, so you can learn to craft the important parts, like how you identify variables and formulate a clear hypothesis. 

With these skills, you can make sure your hypothesis is clear and can be tested. So, get ready to craft a strong hypothesis!

On this Page

What is a Hypothesis in Research? 

A hypothesis in research is a clear and testable statement or prediction that proposes a relationship between two or more variables. 

It serves as a foundation for scientific investigations, guiding researchers in designing experiments and collecting data to either support or refute the hypothesis.

Research Question vs. Hypothesis vs. Thesis Statement 

Research Question, Hypothesis, and Thesis Statement are three distinct elements in the research process, each serving a specific purpose. 

Here's a breakdown of their differences:

Components of a Hypothesis 

If you are wondering what to write in a research hypothesis, here is the breakdown:

Different Types of Hypothesis 

Hypotheses come in various forms, each tailored to address different aspects of research. 

Simple Hypothesis

This hypothesis proposes a straightforward relationship between two variables.  For example, "Increasing sunlight will lead to increased plant growth."

Complex Hypothesis 

In contrast, a complex hypothesis involves multiple variables and intricate relationships.  An example could be "The interaction of sunlight, soil quality, and water availability collectively influences plant growth."

Directional Hypothesis 

A directional hypothesis predicts a specific outcome.  For instance, "Higher levels of education will result in increased job satisfaction."

Non-directional Hypothesis 

Conversely, a non-directional hypothesis suggests a relationship without specifying the expected direction.  An example is "There is a correlation between exercise and weight loss."

Associative Hypothesis 

This type suggests a relationship between variables without implying causation.  For example, "There is an association between ice cream sales and drowning incidents."

Causal Hypothesis

Unlike associative hypotheses, causal hypotheses propose a cause-and-effect relationship. For instance, "Increasing water intake causes improvements in skin hydration."

Null Hypothesis (H0) 

The null hypothesis assumes no effect or relationship between variables.  An example is, "There is no significant difference in test scores between students who receive extra tutoring and those who do not."

Alternative Hypothesis 

The alternative hypothesis suggests a specific effect or relationship. It contrasts with the null hypothesis.  For instance, "There is a significant difference in test scores between students who receive extra tutoring and those who do not."

5 Steps of Writing a Strong Hypothesis

A strong hypothesis gives the reader a clear view of your research. In this section, we will explore the steps of writing a strong hypothesis in detail:

Step 1: Understand the Research Question

Before diving into hypothesis crafting, take time to comprehend your research problem . Break it down into its core components. 

For instance, if your research question is, 

"How does caffeine consumption affect students' test performance?":

• Identify the Main Focus: Clearly pinpoint the main aspect of the research question. In this case, it's the impact of caffeine consumption.
• Define Variables : Recognize the key variables involved. In our example, the independent variable is "caffeine consumption," and the dependent variable is "students' test performance."
• Refine the Question: Ask yourself what specific information you want to uncover. Is it the overall effect, a comparison between different levels of caffeine intake, or perhaps the timing of consumption? This refinement sets the stage for a more focused hypothesis.

Step 2: Identify the Variables

Understanding the variables of your research is crucial for defining the key roles and what changes you're anticipating. 

They are the backbone of your hypothesis and create a focused and meaningful research approach.

• Independent Variable (The What You Tweak): Pinpoint the factor you're going to manipulate. For instance, if you're exploring the impact of fertilizer on plant growth, fertilizer becomes your independent variable.
• Dependent Variable (The What You Measure): Identify the factor you're measuring, the one expected to change due to the manipulation. In the plant growth example, it could be the height of the plants after a specific period—this is your dependent variable.

Step 3: Formulate a Clear Statement

Precision is the key to shaping a concise and strong hypothesis. To create a well-structured hypothesis, condense your thoughts into a single, easy-to-follow sentence. 

Also, do not forget to clearly express the expected connection between your independent and dependent variables.

Step 4: Consider the Type of Hypothesis

In this step, you decide on the type of your hypothesis—whether it's giving a specific prediction or leaving room for surprises.

• Example of Directional Hypothesis: "Increasing product advertising will result in higher sales."
• Example of Non-Directional Hypothesis: "There is a significant correlation between stress levels and job performance."

Step 5: Predict the Outcome

Predicting the outcome is like offering a sneak peek into the conclusion of your research narrative.

By following these five steps, you'll be well-equipped to create a strong and effective hypothesis, providing a solid foundation for your research.

Check out this example of hypothesis for a research paper for better understanding:

Example Of Hypothesis In Research Proposal PDF

How to Write a Null Hypothesis In A Research Paper

Writing a null hypothesis in a research paper involves stating a proposition that there is no significant difference or effect. 

Here are some tips for writing a null hypothesis:

• Reverse the Statement: Formulate the null hypothesis by reversing the statement of the research hypothesis to suggest no significant difference or effect.
• Use Equality Sign: Express the null hypothesis using an equality sign, such as "equals" or "is not significantly different from."
• Be Specific and Testable: Make the null hypothesis specific and testable, ensuring it can be evaluated through data analysis.
• Consider the Context: Ensure that the null hypothesis is appropriate for the context of your research.

Here is an example of a null hypothesis:

How to Write an Alternative Hypothesis? 

Writing an alternative hypothesis, also known as the research hypothesis, involves stating a proposition that suggests a significant difference or effect between variables. 

Here are some tips for writing an alternative hypothesis:

• Formulate a Prediction: Formulate a clear prediction or expectation regarding the relationship or effect between the variables.
• Express the Relationship: Clearly express the anticipated relationship or effect using specific terms, such as "greater than," "less than," or "different from."
• Use Inequality Sign: Utilize an inequality sign (>, <, ?) to represent the direction of the expected difference or effect.

Here's a PDF example for an alternative hypothesis:

How to Write an Alternative Hypothesis

In a nutshell, hypotheses aren't just words; they guide us in discovering new things. So, as you dive into your own research, use clear hypotheses to represent yours to illuminate your research question.

But if you face any problem in creating a meaningful hypothesis or any section of your research paper, get help from the top paper writing service online .

Our expert writers will help you in creating an outstanding research paper that will show your command over the topic.

So, don’t waste time! Get your research papers from experts today! 

Barbara has a Ph.D. in public health from an Ivy League university and extensive experience working in the medical field. With her practical experience conducting research on various health issues, she is skilled in writing innovative papers on healthcare. Her many works have been published in multiple publications.

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How to Write a Hypothesis

Often, one of the trickiest parts of designing and writing up any research paper is writing the hypothesis.

This article is a part of the guide:

• Outline Examples
• Example of a Paper
• Introduction
• Example of a Paper 2

Browse Full Outline

• 1 Write a Research Paper
• 2 Writing a Paper
• 3.1 Write an Outline
• 3.2 Outline Examples
• 4.1 Thesis Statement
• 4.2 Write a Hypothesis
• 5.2 Abstract
• 5.3 Introduction
• 5.4 Methods
• 5.5 Results
• 5.6 Discussion
• 5.7 Conclusion
• 5.8 Bibliography
• 6.1 Table of Contents
• 6.2 Acknowledgements
• 6.3 Appendix
• 7.1 In Text Citations
• 7.2 Footnotes
• 7.3.1 Floating Blocks
• 7.4 Example of a Paper
• 7.5 Example of a Paper 2
• 7.6.1 Citations
• 7.7.1 Writing Style
• 7.7.2 Citations
• 8.1.1 Sham Peer Review
• 8.1.2 Advantages
• 8.1.3 Disadvantages
• 8.2 Publication Bias
• 8.3.1 Journal Rejection
• 9.1 Article Writing
• 9.2 Ideas for Topics

The entire experiment revolves around the research hypothesis (H 1 ) and the null hypothesis (H 0 ), so making a mistake here could ruin the whole design .

Needless to say, it can all be a little intimidating, and many students find this to be the most difficult stage of the scientific method .

In fact, it is not as difficult as it looks, and if you have followed the steps of the scientific process and found an area of research and potential research problem , then you may already have a few ideas.

It is just about making sure that you are asking the right questions and wording your hypothesis statements correctly.

Once you have nailed down a promising hypothesis, the rest of the process will flow a lot more easily.

The Three-Step Process

It can quite difficult to isolate a testable hypothesis after all of the research and study. The best way is to adopt a three-step hypothesis; this will help you to narrow things down, and is the most foolproof guide to how to write a hypothesis.

Step one is to think of a general hypothesis, including everything that you have observed and reviewed during the information gathering stage of any research design . This stage is often called developing the research problem .

An Example of How to Write a Hypothesis

A worker on a fish-farm notices that his trout seem to have more fish lice in the summer, when the water levels are low, and wants to find out why. His research leads him to believe that the amount of oxygen is the reason - fish that are oxygen stressed tend to be more susceptible to disease and parasites.

He proposes a general hypothesis.

“Water levels affect the amount of lice suffered by rainbow trout.”

This is a good general hypothesis, but it gives no guide to how to design the research or experiment . The hypothesis must be refined to give a little direction.

“Rainbow trout suffer more lice when water levels are low.”

Now there is some directionality, but the hypothesis is not really testable , so the final stage is to design an experiment around which research can be designed, i.e. a testable hypothesis.

“Rainbow trout suffer more lice in low water conditions because there is less oxygen in the water.”

This is a testable hypothesis - he has established variables , and by measuring the amount of oxygen in the water, eliminating other controlled variables , such as temperature, he can see if there is a correlation against the number of lice on the fish.

This is an example of how a gradual focusing of research helps to define how to write a hypothesis .

The Next Stage - What to Do with the Hypothesis

Once you have your hypothesis , the next stage is to design the experiment , allowing a statistical analysis of data, and allowing you to test your hypothesis .

The statistical analysis will allow you to reject either the null or the alternative hypothesis. If the alternative is rejected, then you need to go back and refine the initial hypothesis or design a completely new research program.

This is part of the scientific process, striving for greater accuracy and developing ever more refined hypotheses.

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Martyn Shuttleworth (Aug 1, 2009). How to Write a Hypothesis. Retrieved Mar 18, 2024 from Explorable.com: https://explorable.com/how-to-write-a-hypothesis

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How to Write a Hypothesis with Examples and Explanations

20 August 2023

last updated

A hypothesis refers to a statement that predicts the findings of a research study. Basically, researchers develop propositions to provide tentative answers to research questions that address different aspects of the research question. In this case, a scholar must use existing theories and knowledge to create an assumption. Besides, a researcher focuses on testing supposed claims through different methods, like experiments, observations, and statistical analysis of the data. In practice, the findings from a study can either support or refute a hypothesis. Then, when writing a suggestion, scholars should conduct adequate research on the topic, brainstorm for ideas, draft a hypothesis, revise a draft supposition, and write a final claim in simple language. Also, these steps lead to the development of accurate and precise propositions that identify relationships between independent and dependent variables. In practice, one should rely on a cause and effect theory when developing a hypothesis.

General Aspects of Writing a Hypothesis

A hypothesis suggests a sentence as a statement that gives a prediction about the findings of a research study. Basically, researchers make a hypothesis, which acts as a tentative answer to the research question. In this case, a proposition lacks scientific or scholarly proof. Then, a reasonable hypothesis must address different aspects of the research question. In turn, researchers must base a proposition on existing theories and knowledge. Besides, it has to be testable through various methods, like experiments, observations, and statistical analysis. In practice, the findings from a study can either support or refute a working hypothesis. Therefore, a hypothesis refers to a statement that tries to predict the results of a survey.

Independent and Dependent Variables

A hypothesis in some studies must contain independent and dependent variables. For example. experimental and correlational research examines relationships between two or more variables. In turn, independent variables refer to factors that researchers can control or change. Besides, a dependent variable refers to factors that scholars observe or measure. Then, a null hypothesis of experimental and correlational studies must predict relationships between dependent and independent variables. Moreover, such predictions should not be guesses but should contain evidence from research studies.

Types of a Hypothesis

There are different types of hypotheses that researchers can develop in their studies. In this case, the following are the common types of hypotheses:

• A simple hypothesis refers to predictions of relationships between independent and dependent variables.
• A complex hypothesis predicts relationships between two or more independent and dependent variables.
• An empirical hypothesis is a working prediction that exists when a researcher tests a theory by using observations and experiments. Basically, this type of hypothesis goes through some trial and error methods to obtain the necessary findings. In some instances, researchers may change some variables around other variables.  
• A null hypothesis , denoted as H 0 , exists when a researcher believes that a relationship does not exist between independent and dependent variables. Basically, this hypothesis may exist when a researcher lacks adequate information to make a scientific prediction. Besides, inferences made from the findings attempt to disapprove or discredit a null hypothesis.  
• An alternative hypothesis , denoted as H 1 , attempts to disapprove a null hypothesis. In this case, researchers attempt to discover or affirm an alternative proposition. 
• A logical hypothesis refers to a proposed explanation of a concept that contains limited evidence. In practice, investigators intend to turn a reasonable assumption into an empirical claim. Also, researchers put theories or postulate it to the test.
• A statistical hypothesis is a claim related to studies that examine a section of the population. In this case, researchers identify a sample population and study their behaviors related to the research question. 

Crafting a Hypothesis

Researchers should focus on developing reasonable hypotheses for their studies. For example, one should consider different factors that relate to existing studies or theories. In this case, some predictions should pertain to research data and provide tentative answers to research questions. Hence, the following are the essential steps that a researcher should consider when developing a hypothesis.

Step 1. Researching

The first step in developing a hypothesis is to research and gather details related to the intended topic. Basically, researching allows a scholar to gain more knowledge concerning issues and factors and how variables change. Besides, this step will enable researchers to become familiar with the expected results. As a result, it influences a relevant hypothesis’s development.

Step 2. Asking Questions

A researcher should develop research questions before developing a hypothesis. For instance, investigators should create scientific questions that relate to the study and identified variables. In this case, brainstorming enhances the ability to determine relationships between independent and dependent variables. Basically, successful scholars remain focused on one cause and effect theory to ensure that they develop accurate ideas for a hypothesis. Therefore, the second step in developing a proposition is to brainstorm questions that reveal the relationship between independent and dependent variables. 

Step 3. Use Clear Language

Scholars should use simple and clear language when developing a hypothesis for a study. For instance, one should draft concise predictions that answer developed research questions. In practice, one should write a hypothesis in a form that proposes that an action leads to a specific result. Moreover, a researcher should not state a supposition as a question but as an affirmative statement that predicts outcomes from a particular course of action. Therefore, the third step in developing a hypothesis involves selecting a simple language for drafting scientific predictions. 

Step 4. Revising a Hypothesis

A scholar should revise a draft hypothesis to ensure that it makes a testable thesis through research and experimentation. For instance, a researcher should review a prediction to ensure that it captures relationships between at least two variables. Hence, a scholar must revise a drafted hypothesis to ensure that it captures a testable relationship between independent and dependent variables.     

Examples of a Hypothesis

1. sociology.

• Research question – How does divorce affect sociological development among young children?
• H 0 – Challenges that lead to divorce hurt young children’s social development, which affects their ability to interact with other people. 
• H 1 – Most children manage to cope with domestic challenges that lead to divorce, enabling them to realize healthy sociological development.
• Research question – How did tenebrism influence baroque art during the 16 th and 17 th centuries?
• H 0 – The origin of tenebrism had a positive impact on the dynamic appearance of baroque art.
• H 1 – Baroque art emerged as a unique art that did not have any form of external influence.

3. Geography

• Research question – To what extent does geological activity affect the Earth?
• H 0 – The movement of tectonic plates beneath the Earth’s surface results in volcanic eruptions and faults that lead to mountains and lift valleys.  
• H 1 – Mountains and valleys are natural features with little connection with geological activities like the movement of tectonic plates beneath the Earth’s surface.

4. Philosophy Hypothesis

• Research question – Do animals have rights and welfare in society?
• H 0 – Wild and domestic animals are living creatures with a right to care and protection by humans.
• H 1 – Wild and domestic animals are subordinate to a human, which implies that they do not have a right to care and protection.  
• Research question – Does the consumption of genetically modified plants cause health complications in humans?
• H 0 – Genetically modified foods are safe for human consumption and do not pose any possible health risks.
• H 1 – Genetically modified foods interfere with healthy cell development, which leads to health complications.

4. Indigenous Studies

• Research question – What role does culture play among indigenous communities?
• H 0 – Cultural practices among aboriginals promote their identity and contribute to the members’ overall well-being.
• H 1 – cultural practices among aboriginals do not significantly contribute to the quality of their lives.
• Research question – Does fascism exist in the twenty-first century?
• H 0 – The established forms of democracy in the twenty-first century do not allow political leaders to implement all the fascism elements.
• H 1 – Some political leaders in the twenty-first century adopt radical policies that promote the existence of fascism.
• Research question – Do neutrons have mass?
• H 0 – Neutrons are small particles that have masses.
• H 1 – Neutrons are small particles whose weight remains insignificant.

7. Health Studies

• Research question – How do evidence-based treatment approaches enhance the quality of the treatments?
• H 0 – Evidence-based treatment methods allow doctors to gather adequate and accurate information about the patient, which helps tailor treatment and care approaches to meet the patient’s needs.
• H 1 – Evidence-based approaches do not enhance the quality of the treatments since they lead to inconsistency in the care and medications given to a patient.

8. Environmental Studies

• Research question – To what extent do human activities contribute to global warming?
• H 0 – Most human activities release greenhouse gases into the atmosphere, which results in the rise of average temperatures.
• H 1 – Most human activities release insignificant amounts of greenhouse gases into the atmosphere, contributing to global warming.

Summing Up on How to Write a Good Scientific Hypothesis in a Research Paper

A hypothesis gives a prediction about the findings of a research study. Basically, researchers develop hypotheses to provide a tentative answer to research questions. In turn, some of the factors that one must consider when writing a hypothesis include:

• conduct adequate research on the topic;
• brainstorm for ideas;
• draft a hypothesis;
• revise a draft proposition;
• write a final hypothesis in simple language.

To Learn More, Read Relevant Articles

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• Researching
• 7. Hypothesis

How to write a hypothesis

Once you have created your three topic sentences , you are ready to create your hypothesis.

What is a 'hypothesis'?

A hypothesis is a single sentence answer to the Key Inquiry Question  that clearly states what your entire essay is going to argue.

It contains both the argument and the main reasons in support of your argument. Each hypothesis should clearly state the ‘answer’ to the question, followed by a ‘why’.

For Example:  

The Indigenous people of Australia were treated as second-class citizens until the 1960’s (answer) by the denial of basic political rights by State and Federal governments (why) .

How do you create a hypothesis?

Back in Step 3 of the research process, you split your Key Inquiry Question into three sub-questions .

Then at Step 6 you used the quotes from your Source Research to create answers to each of the sub-questions. These answers became your three Topic Sentences .

To create your hypothesis, you need to combine the three Topic Sentences into a single sentence answer.

By combining your three answers to the sub-questions , you are ultimately providing a complete answer to the original Key Inquiry Question .

For example:

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Writing a Personal Statement

Preparing to Write

Brainstorming, don't forget, sample prompts.

A personal statement is a narrative essay that connects your background, experiences, and goals to the mission, requirements, and desired outcomes of the specific opportunity you are seeking. It is a critical component in the selection process, whether the essay is for a competitive internship, a graduate fellowship, or admittance to a graduate school program. It gives the selection committee the best opportunity to get to know you, how you think and make decisions, ways in which past experiences have been significant or formative, and how you envision your future. Personal statements can be varied in form; some are given a specific prompt, while others are less structured. However, in general a personal statement should answer the following questions:

• Who are you?
• What are your goals?
• How does this specific program/opportunity help you achieve your goals?
• What is in the future?

A personal statement is not:

• A variation of your college admissions essay
• An academic/research paper
• A narrative version of your resume
• A creative writing piece (it can be creative, though)
• An essay about somebody else

Keep in mind that your statement is only a portion of the application and should be written with this in mind. Your entire application package will include some, possibly all, of the materials listed below. You will want to consider what these pieces of the application communicate about you. Your personal statement should aim to tie everything together and fill in or address any gaps. There will likely be some overlap but be sure not to be too repetitive.

• Personal Statement(s)
• Transcripts
• Letters of recommendations
• Sample of written work
• Research proposal

Preparing to Write A large portion of your work towards completing a personal statement begins well before your first draft or even an outline. It is incredibly important to be sure you understand all of the rules and regulations around the statement. Things to consider before you begin writing:

• How many prompts? And what are they? It is important to know the basics so you can get your ideas in order. Some programs will require a general statement of interest and a focused supplementary or secondary statement closely aligned with the institution's goals.
• Are there formatting guidelines? Single or double spaced, margins, fonts, text sizes, etc. Our general guideline is to keep it simple.
• How do I submit my statement(s)? If uploading a document we highly suggest using a PDF as it will minimize the chances of accidental changes to formatting. Some programs may event ask you to copy and paste into a text box.
• When do I have to submit my statement(s)? Most are due at the time of application but some programs, especially medical schools, will ask for secondary statements a few months after you apply. In these instances be sure to complete them within two weeks, any longer is an indication that you aren't that interested in the institution.

Before you start writing, take some time to reflect on your experiences and motivations as they relate to the programs to which you are applying. This will offer you a chance to organize your thoughts which will make the writing process much easier. Below are a list of questions to help you get started:

• What individuals, experiences or events have shaped your interest in this particular field?
• What has influenced your decision to apply to graduate school?
• How does this field align with your interests, strengths, and values?
• What distinguishes you from other applicants?
• What would you bring to this program/profession?
• What has prepared you for graduate study in this field? Consider your classes at Wellesley, research and work experience, including internships, summer jobs and volunteer work.
• Why are you interested in this particular institution or degree program?
• How is this program distinct from others?
• What do you hope to gain?
• What is motivating you to seek an advanced degree now?
• Where do you see yourself headed and how will this degree program help you get there?

For those applying to Medical School, if you need a committee letter for your application and are using the Medical Professions Advisory Committee you have already done a lot of heavy lifting through the 2017-2018 Applicant Information Form . Even if you aren't using MPAC the applicant information form is a great place to start.

Another great place to start is through talking out your ideas. You have a number of options both on and off campus, such as: Career Education advisors and mentors ( you can set up an appointment here ), major advisor, family, friends. If you are applying to a graduate program it is especially important to talk with a faculty member in the field. Remember to take good notes so you can refer to them later.

When you begin writing keep in mind that your essay is one of many in the application pool. This is not to say you should exaggerate your experiences to “stand out” but that you should focus on clear, concise writing. Also keep in mind that the readers are considering you not just as a potential student but a future colleague. Be sure to show them examples and experiences which demonstrate you are ready to begin their program.

It is important to remember that your personal statement will take time and energy to complete, so plan accordingly. Every application and statement should be seen as different from one another, even if they are all the same type of program. Each institution may teach you the same material but their delivery or focus will be slightly different.

In addition, remember:

• Be yourself: You aren’t good at being someone else
• Tragedy is not a requirement, reflection and depth are
• Research the institution or organization
• Proofread, proofread, proofread
• How to have your personal statement reviewed

The prompts below are from actual applications to a several types of programs. As you will notice many of them are VERY general in nature. This is why it is so important to do your research and reflect on your motivations. Although the prompts are similar in nature the resulting statements would be very different depending on the discipline and type of program, as well as your particular background and reasons for wanting to pursue this graduate degree.

• This statement should illustrate your academic background and experiences and explain why you would excel in the Department of Civil and Environmental Engineering (UMass Amherst - M.S. in Civil Engineering).
• Describe your academic and career objectives and how the Yale School of Forestry and Environmental Studies can help you achieve them. Include other considerations that explain why you seek admissions to the Yale School of Forestry and Environmental Studies and your interests in the environmental field (Yale - Master of Environmental Management).  
• Please discuss your academic interests and goals. Include your current professional and research interests, as well as your long-range professional objectives. Please be as specific as possible about how your objectives can be met at Clark and do not exceed 800 words (Clark University - M.A. in International Development and Social Change).
• Write a 500- to 700-word statement that describes your work or research. Discuss how you came to focus on the medium, body of work, or academic area you wish to pursue at the graduate level. Also discuss future directions or goals for your work, and describe how the Master of Fine Arts in Studio (Printmedia) is particularly suited to your professional goals (School of the Art Institute of Chicago - MFA in Studio, Printmaking).
• Your statement should explain why you want to study economics at the graduate level. The statement is particularly important if there is something unusual about your background and preparation that you would like us to know about you (University of Texas at Austin - Ph.D in Economics).
• Your personal goal statement is an important part of the review process for our faculty members as they consider your application. They want to know about your background, work experience, plans for graduate study and professional career, qualifications that make you a strong candidate for the program, and any other relevant information (Indiana University Bloomington - M.S.Ed. in Secondary Education).
• Your autobiographical essay/personal statement is a narrative that outlines significant experiences in your life, including childhood experiences, study and work, your strengths and aspirations in the field of architecture, and why you want to come to the University of Oregon (University of Oregon - Master of Architecture).
• Personal history and diversity statement, in which you describe how your personal background informs your decision to pursue a graduate degree. You may refer to any educational, familial, cultural, economic or social experiences, challenges, community service, outreach activities, residency and citizenship, first-generation college status, or opportunities relevant to your academic journey; how your life experiences contribute to the social, intellectual or cultural diversity within a campus community and your chosen field; or how you might serve educationally underrepresented and underserved segments of society with your graduate education (U.C. Davis - M.A. in Linguistics).
• A Personal Statement specifying your past experiences, reasons for applying, and your areas of interest. It should explain your intellectual and personal goals, why you are interested in pursuing an interdisciplinary degree rather than a more traditional disciplinary one, and how this degree fits into your intellectual and personal future (Rutgers University - Ph.D in Women’s and Gender Studies).
• Your application requires a written statement to uploaded into your application and is a critical component of your application for admission. This is your opportunity to tell us what excites you about the field of library and information science, and what problems you want to help solve in this field. Please also tell us how your prior experiences have prepared you for this next step toward your career goals and how this program will help you achieve them (University of North Carolina Chapel Hill - Master of Science in Library Science).
• After watching the video, please describe what strengths and preferences as a learner you have that will facilitate your success in this innovative curriculum. What challenges in our curriculum do you anticipate and what strategies might you use to address these challenges? (MGH Institute of Health Professions PT - They recently redesigned their curriculum)
• Your personal goal statement should briefly describe how you view the future of the field, what your goals are to be part of that future, and what brought you to pursue an advanced education degree in your chosen field. You may include any other information that you feel might be useful. (Northeastern PT)
• Personal Statement: In 500 words or less, describe a meaningful educational experience that affected your professional goals and growth and explain how it impacted you. The educational experience does not need to be related to this degree. Focus on the educational experience and not why you think you would be a good professional in this field. (Simmons PT)
• Personal Statement (500 word minimum): State your reasons for seeking admission to this program at this institution. Include your professional goals, why you want to pursue a career in this field and how admission to this program will assist you in accomplishing those goals. (Regis College Nursing)
• “Use the space provided to explain why you want to go to this type of program.” (AMCAS)
• Address the following three questions(Though there is no set limit, most statements are 1–2 pages, single-spaced.): What are your reasons for pursuing this degree? Why do you wish to pursue your degree at this institution? How do you intend to leverage your degree in a career of this field? (Boston University MPH)
• Please submit a personal statement/statement of purpose of no more than 500 words for the department/degree of choice. Professional degree essays require a clear understanding of the _______ field and how you hope to work within the field. Be sure to proofread your personal statement carefully for spelling and grammar. In your statement, be sure to address the following: what interests you in the field of _____ what interests you in a specific degree program and department at this institution and what interests you in a particular certificate (if applicable). Please also describe how you hope to use your ________ training to help you achieve your career goals. (Columbia PhD in Public Health - Epidemiology)
• Because each Home Program requires significant original research activities in fulfillment of the requirements for the degree, we are interested in obtaining as much information as possible about your previous research experiences. Those who already have such experience are in a better position to know whether they are truly interested in performing ______ research as part of a graduate program. Please include specific information about your research experience in your Statement of Purpose. You may also use the Statement to amplify your comments about your choice of Home Program(s), and how your past experiences and current interests are related to your choice. Personal Statements should not exceed two pages in length (single spaced). Make sure to set your computer to Western European or other English-language setting. We cannot guarantee the ability to access your statement if it is submitted in other fonts. (Stanford Biosciences PhD)
• Your statement of purpose should describe succinctly your reasons for applying to the Department of ____ at ___ University. It would be helpful to include what you have done to prepare for this degree program. Please describe your research interests, past research experience, future career plans and other details of your background and interests that will allow us to evaluate your ability to thrive in our program. If you have interests that align with a specific faculty member, you may state this in your application. Your statement of purpose should not exceed two pages in length (single spaced). (Stanford Bioengineering PhD)
• Statement of purpose (Up to one page or 1,000 words): Rather than a research proposal, you should provide a statement of purpose. Your statement should be written in English and explain your motivation for applying for the course at this institution and your relevant experience and education. Please provide an indication of the area of your proposed research and supervisor(s) in your statement. This will be assessed for the coherence of the statement; evidence of motivation for and understanding of the proposed area of study; the ability to present a reasoned case in English; and commitment to the subject. (Oxford Inorganic Chemistry - DPhil)

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The Cowardice of Guernica

The literary magazine Guernica ’s decision to retract an essay about the Israeli-Palestinian conflict reveals much about how the war is hardening human sentiment.

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In the days after October 7, the writer and translator Joanna Chen spoke with a neighbor in Israel whose children were frightened by the constant sound of warplanes. “I tell them these are good booms,” the neighbor said to Chen with a grimace. “I understood the subtext,” Chen wrote later in an essay published in Guernica magazine on March 4, titled “From the Edges of a Broken World.” The booms were, of course, the Israeli army bombing Gaza, part of a campaign that has left at least 30,000 civilians and combatants dead so far.

The moment is just one observation in a much longer meditative piece of writing in which Chen weighs her principles—she refused service in the Israeli military, for years has volunteered at a charity providing transportation for Palestinian children needing medical care, and works on Arabic and Hebrew translations to bridge cultural divides—against the more turbulent feelings of fear, inadequacy, and split allegiances that have cropped up for her after October 7, when 1,200 people were killed and 250 taken hostage in Hamas’s assault on Israel. But the conversation with the neighbor is a sharp, novelistic, and telling moment. The mother, aware of the perversity of recasting bombs killing children mere miles away as “good booms,” does so anyway because she is a mother, and her children are frightened. The act, at once callous and caring, will stay with me.

Not with the readers of Guernica , though. The magazine , once a prominent publication for fiction, poetry, and literary nonfiction, with a focus on global art and politics, quickly found itself imploding as its all-volunteer staff revolted over the essay. One of the magazine’s nonfiction editors posted on social media that she was leaving over Chen’s publication. “Parts of the essay felt particularly harmful and disorienting to read, such as the line where a person is quoted saying ‘I tell them these are good booms.’” Soon a poetry editor resigned as well, calling Chen’s essay a “horrific settler normalization essay”— settler here seeming to refer to all Israelis, because Chen does not live in the occupied territories. More staff members followed, including the senior nonfiction editor and one of the co-publishers (who criticized the essay as “a hand-wringing apologia for Zionism”). Amid this flurry of cascading outrage, on March 10 Guernica pulled the essay from its website, with the note: “ Guernica regrets having published this piece, and has retracted it. A more fulsome explanation will follow.” As of today, this explanation is still pending, and my request for comment from the editor in chief, Jina Moore Ngarambe, has gone unanswered.

Read: Beware the language that erases reality

Blowups at literary journals are not the most pressing news of the day, but the incident at Guernica reveals the extent to which elite American literary outlets may now be beholden to the narrowest polemical and moralistic approaches to literature. After the publication of Chen’s essay, a parade of mutual incomprehension occurred across social media, with pro-Palestine writers announcing what they declared to be the self-evident awfulness of the essay (publishing the essay made Guernica “a pillar of eugenicist white colonialism masquerading as goodness,” wrote one of the now-former editors), while reader after reader who came to it because of the controversy—an archived version can still be accessed—commented that they didn’t understand what was objectionable. One reader seemed to have mistakenly assumed that Guernica had pulled the essay in response to pressure from pro-Israel critics. “Oh buddy you can’t have your civilian population empathizing with the people you’re ethnically cleansing,” he wrote, with obvious sarcasm. When another reader pointed out that he had it backwards, he responded, “This chain of events is bizarre.”

Some people saw anti-Semitism in the decision. James Palmer, a deputy editor of Foreign Policy , noted how absurd it was to suggest that the author approved of the “good bombs” sentiment, and wrote that the outcry was “one step toward trying to exclude Jews from discourse altogether.” And it is hard not to see some anti-Semitism at play. One of the resigning editors claimed that the essay “includes random untrue fantasies about Hamas and centers the suffering of oppressors” (Chen briefly mentions the well-documented atrocities of October 7; caring for an Israeli family that lost a daughter, son-in-law, and nephew; and her worries about the fate of Palestinians she knows who have links to Israel).

Madhuri Sastry, one of the co-publishers, notes in her resignation post that she’d earlier successfully insisted on barring a previous essay of Chen’s from the magazine’s Voices on Palestine compilation. In that same compilation, Guernica chose to include an interview with Alice Walker, the author of a poem that asks “Are Goyim (us) meant to be slaves of Jews,” and who once recommended to readers of The New York Times a book that claims that “a small Jewish clique” helped plan the Russian Revolution, World Wars I and II, and “coldly calculated” the Holocaust. No one at Guernica publicly resigned over the magazine’s association with Walker.

However, to merely dismiss all of the critics out of hand as insane or intolerant or anti-Semitic would ironically run counter to the spirit of Chen’s essay itself. She writes of her desire to reach out to those on the other side of the conflict, people she’s worked with or known and who would be angered or horrified by some of the other experiences she relates in the essay, such as the conversation about the “good booms.” Given the realities of the conflict, she knows this attempt to connect is just a first step, and an often-frustrating one. Writing to a Palestinian she’d once worked with as a reporter, she laments her failure to come up with something meaningful to say: “I also felt stupid—this was war, and whether I liked it or not, Nuha and I were standing at opposite ends of the very bridge I hoped to cross. I had been naive … I was inadequate.” In another scene, she notes how even before October 7, when groups of Palestinians and Israelis joined together to share their stories, their goodwill failed “to straddle the chasm that divided us.”

Read: Why activism leads to so much bad writing

After the publication of Chen’s essay, one writer after another pulled their work from the magazine. One wrote, “I will not allow my work to be curated alongside settler angst,” while another, the Texas-based Palestinian American poet Fady Joudah, wrote that Chen’s essay “is humiliating to Palestinians in any time let alone during a genocide. An essay as if a dispatch from a colonial century ago. Oh how good you are to the natives.” I find it hard to read the essay that way, but it would be a mistake, as Chen herself suggests, to ignore such sentiments. For those who more naturally sympathize with the Israeli mother than the Gazan hiding from the bombs, these responses exist across that chasm Chen describes, one that empathy alone is incapable of bridging.

That doesn’t mean empathy isn’t a start, though. Which is why the retraction of the article is more than an act of cowardice and a betrayal of a writer whose work the magazine shepherded to publication. It’s a betrayal of the task of literature, which cannot end wars but can help us see why people wage them, oppose them, or become complicit in them.

Empathy here does not justify or condemn. Empathy is just a tool. The writer needs it to accurately depict their subject; the peacemaker needs it to be able to trace the possibilities for negotiation; even the soldier needs it to understand his adversary. Before we act, we must see war’s human terrain in all its complexity, no matter how disorienting and painful that might be. Which means seeing Israelis as well as Palestinians—and not simply the mother comforting her children as the bombs fall and the essayist reaching out across the divide, but far harsher and more unsettling perspectives. Peace is not made between angels and demons but between human beings, and the real hell of life, as Jean Renoir once noted, is that everybody has their reasons. If your journal can’t publish work that deals with such messy realities, then your editors might as well resign, because you’ve turned your back on literature.

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Younge writing on racism best since Baldwin

Racism in politics | A propulsion problem | Joy in education | Salford’s rugby win

Gary Younge’s article on the universal hypocrisy in relation to racism being expressed by both of our main political parties is the most honest and ruthlessly coruscating essay I’ve read since James Baldwin ( In Britain’s degraded politics, fighting racism has become a cynical game, 15 March ). It should be framed on the walls of every office used by journalists and politicians in the land. Jonathan Callan London

The propulsion of rockets is described as due to “flames and hot gases, which push against the ground and cause it to travel upwards” ( The kids quiz, 9 March ). Apart from the grammatical failure, which has the ground moving upwards, what happened to Newton’s laws? Have they been discarded as the work of a dead white male? John Hall Bristol

Further to Dr Helen Care’s rhapsodic endorsement ( Letters, 6 March ) of Polly Toynbee’s clarion call to bring joy back to the education system ( The Tories have sucked the joy from the education system. Here are three ways Labour can bring it back, 29 February ), might I suggest a touch of nominative determinism? Why not colleges of fervour education? Ian Barge Ludlow, Shropshire

There wasn’t enough space in last Saturday’s 16-page Guardian Sport for even a mention of Salford’s first win at St Helens in their 41 attempts since 1980. Perhaps you could squeeze one into your letters page. Ian Cawthron Cuffley, Hertfordshire

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