Null Hypothesis Generator with Examples

To generate a null hypothesis, add below your research group, the predicate, the outcome, and the effect. Specify the control group if necessary.

Fill in the fields to get a hypothesis

What is your research group? *

Add above the person or phenomenon you are focusing on in your study.

What does your research group do? *

Add above the activity or characteristic of your research group). Start with a verb correlating with your subject.

What is your dependent variable? *

Add above the thing that you are going to measure in your study.

What is your second research group?

Add above the person or phenomenon you are comparing with your research group.

Add here the effect of the predicate on the dependent variable.

Are you looking for a free null hypothesis generator? Writing a hypothesis is important in academic writing since it shows the direction of your research paper. Don’t stress yourself with endless research hours; try our efficient hypothesis generator and get instant results. It is free, simple, and accessible online for students at any academic level. You can formulate a correct hypothesis within minutes, regardless of your paper’s complexity.

🤖 Null Hypothesis Generator: How to Use It

A null hypothesis generator is simple to use. You no longer have to write wrong hypotheses because this generator provides accurate results for your research project.

You have to add correct information about your research paper in the provided fields below:

  1. The subject of your research or experimental group – who or what.
  2. What the subject or group does – independent variable.
  3. The measured thing – dependent variable.
  4. The result.
  5. The control group (optional).

After filling out the above fields, you can click on the button, and the system will generate results. Ensure you provide accurate information to get relevant results that align with your research question.

🧩 What Is a Null Hypothesis & Why Is It Important?

A null hypothesis is a statement that claims there is no relationship between a dependent and independent variable. The hypothesis is not supposed to show any connection; if it does, the research could have a sampling or experimental error. Thus, a false null hypothesis shows a relationship in the measured observation.

The null hypothesis is vital in research since it determines whether two measured observation subjects are related. It also lets the user know if the outcome is a product of chance or manipulation. However, the hypothesis must be tested to evaluate if it is true or false. The test determines if the null hypothesis should be accepted or rejected.

Researchers often use 2 strategies to test a null hypothesis:

  • Significance testing;
  • Hypothesis testing.

Both approaches are distinguished based on the observed data. Thus, a null hypothesis is important in research since it will reveal the direction of your essay.

👀 Null Hypothesis Examples

To formulate a null hypothesis, you must drive your statement from a question. Rewrite that question in a different format that presumes there is no relationship between the subjects of observation.

Here are examples of a null hypothesis.

Question Null Hypothesis
Are boys more intelligent at math than girls? Gender has no impact on mathematical intelligence.
Does sleeping early reduce anxiety attacks? Sleeping doesn’t affect anxiety levels.
Do cats prefer evenly shaped food? Food shape doesn’t influence a cat’s preference for food.
Do teenagers use smartphones to access social media more than adults? Age has no impact on the use of smartphones to access social media.
Are college students more talented than high school students? Education doesn’t affect an individual’s talent.

When formulating a null hypothesis, you should always assume that the variables have no relationship. Always start with a question if you want to create a good null hypothesis that reflects your research.

❌ How to Reject a Null Hypothesis

When testing the null hypothesis, the p-value is important in determining the outcome of the observed variables. The p-value in statistics is a number that is calculated from a test. It illustrates the probability of getting the results if the null hypothesis is true.

In short, this value helps researchers decide whether the null hypothesis will be rejected.

Understanding the aspects that lead to the rejection of null hypothesis is essential. The entire process is vital in data analysis, interpretation, and calculations. Besides, you will be able to improve your analytical and research skills in different industries.

Therefore, rejecting a null hypothesis is possible if you follow the falsifiability principle.

What does it mean?

It means that a hypothesis may be regarded as scientifically valid only if it can be tested and proved or disproved based on the resulting data. Therefore, both null and alternative hypotheses should be falsifiable to inform a scholarly inquiry.

So, you must first establish the null hypothesis before testing.

Follow the 4 steps below:

  • Establish the hypothesis;
  • Create an experimental outline to test the null hypothesis;
  • Perform the experiments;
  • Interpret the outcome of the investigation.

There are some factors involved when it comes to rejecting a null hypothesis. The p-value is used as an indicator to reject the hypothesis if it is less or equal to the significance level. This level reveals the difference between the test outcome and the null hypothesis.

Therefore, you can use our null hypothesis maker to simplify your work and generate accurate results. Whether you are working on a biology research paper or a statistics paper, understanding how to identify and reject a null hypothesis is important.

We hope the tool and the information were helpful. You are welcome to try our other online writing apps to quickly polish your psychology essay.

❓ Null Hypothesis Generator FAQ

❓ What is a null hypothesis?

A null hypothesis is a statement that claims there is no relationship between independent and independent variables. It is usually based on insufficient evidence that needs more testing to prove if the observed information is true or false.

❓ How to write a null hypothesis?

Writing a null hypothesis requires you to ask a question. You need to rephrase the question in a form that makes no assumptions about the connection between the variables. Formulate the null hypotheses to show the treatment is ineffective.

❓ What does it mean to reject the null hypothesis?

A null hypothesis states that no difference exists between a set of groups. It means that the dependent variable doesn’t have a substantial impact effect on the independent variable. When researchers reject a null hypothesis, they have proven the alternative hypothesis. So, the final result shows there is a relationship between the variables.

❓ What is a null hypothesis example?

An example of a null hypothesis can start with this question: Are adults better at music than children? The null hypothesis, in this case, will state that age doesn’t affect musical ability. Thus, there is no relationship between music and a person’s age.

🔗 References

  1. Hypothesis Definition & Examples - Simply Psychology
  2. Hypothesis - APA Dictionary of Psychology
  3. Why Are Statistics Necessary in Psychology? - Verywell Mind
  4. Scientific Inquiry Definition: How the Scientific Method Works
  5. Karl Popper Life & Theory of Falsification -