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Hypothesis Generator

Generate well-structured research hypotheses for your papers, thesis, or experiments. Create null and alternative hypotheses, simple if-then statements, and complete research hypotheses.

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Pro Tip

Click "Fill Examples" to see sample variables for your research field, or enter your own specific variables for a customized hypothesis.

⚙️ Configure Your Hypothesis

📋 Generated Hypotheses

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Enter your variables and generate your hypothesis!

📖 Hypothesis Types Quick Reference

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Simple Hypothesis

Predicts relationship between two variables

"If X increases, then Y will increase."

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Null Hypothesis (H₀)

States no significant relationship exists

"There is no effect of X on Y."

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Alternative Hypothesis (H₁)

States a significant relationship exists

"There is a significant effect of X on Y."

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Directional

Predicts specific direction of effect

"X will increase Y."

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Non-directional

Predicts effect without direction

"X will affect Y."

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Correlational

Predicts relationship without causation

"X is associated with Y."

✍️ How to Write a Strong Research Hypothesis

A well-crafted hypothesis is the foundation of any successful research study. It guides your methodology, data collection, and analysis. Here's how to create hypotheses that work.

Key Characteristics

  • Testable: Can be supported or refuted with data
  • Specific: Clearly defines variables and relationships
  • Falsifiable: Possible to prove wrong
  • Based on research: Grounded in existing literature
  • Simple: Focuses on one relationship

Common Mistakes to Avoid

  • Making it too vague or broad
  • Including value judgments or opinions
  • Using untestable claims
  • Confusing hypothesis with research question
  • Including too many variables

📝 Hypothesis Formulas

If-Then:

"If [IV], then [DV]"

Correlational:

"[IV] is related to [DV]"

Comparative:

"[Group A] will differ from [Group B] in [DV]"

💡 Variable Tips

Remember: The independent variable (IV) is what you manipulate. The dependent variable (DV) is what you measure. A clear understanding of your variables leads to a stronger hypothesis!

Frequently Asked Questions

A research hypothesis is a tentative statement that proposes a relationship between two or more variables. It's an educated prediction that can be tested through research and data collection. A good hypothesis is specific, testable, and based on existing knowledge or observations.

The null hypothesis (H₀) states that there is no significant relationship or effect between variables—it's the default assumption. The alternative hypothesis (H₁ or Ha) states that there IS a significant relationship or effect. In statistical testing, you either reject or fail to reject the null hypothesis based on your data.

A good hypothesis should be: (1) Testable - you can collect data to support or refute it, (2) Specific - clearly defines variables and expected relationships, (3) Falsifiable - it's possible to prove it wrong, (4) Based on existing knowledge - grounded in prior research or observations, and (5) Simple - focuses on one relationship at a time.

The independent variable (IV) is what you manipulate or change in your study—it's the presumed cause. The dependent variable (DV) is what you measure—it's the presumed effect that changes in response to the independent variable. For example, if studying how sleep affects test scores, sleep duration is the IV and test scores are the DV.

Use a directional hypothesis when prior research or theory suggests a specific direction of effect (e.g., 'will increase' or 'will decrease'). Use a non-directional hypothesis when you expect a relationship but aren't sure of the direction, or when exploring a new area with limited prior research (e.g., 'will affect' or 'will differ').

Yes! This tool helps you structure and format your hypotheses correctly. However, the content should be based on your own research question, literature review, and theoretical framework. Use the generated hypotheses as a starting point, then refine them to fit your specific study context and methodology.

🔬 Disclaimer: This tool provides hypothesis templates for educational purposes. Always refine generated hypotheses based on your specific research context, literature review, and methodology.