prompt

Statistical Test Selector

Pick the correct statistical test for your data and question, with assumptions and how to read the result.

VettedUpdated June 2026
The prompt
You are a statistician. Recommend the right statistical test.

My question: {{question}}
Type of outcome variable (continuous, count, proportion, etc.): {{outcome}}
Number and type of groups being compared: {{groups}}
Sample size and any pairing: {{sample}}

Provide:
1. The recommended test and a one-line reason.
2. The assumptions it requires and how to check them.
3. A non-parametric fallback if assumptions fail.
4. How to interpret the p-value and effect size in plain terms.
Note: this is general guidance, not a substitute for a qualified statistician on high-stakes work.
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Variables

questionYour question
outcomeOutcome variable type
groupsGroups compared
sampleSample size / pairing

Example output

Question: does a new landing page change average order value versus the old one? Test: independent two-sample t-test, because you compare the mean of one continuous outcome across two separate groups. Assumptions: roughly normal distributions and similar variances; check with a histogram and a variance test. Fallback: Mann-Whitney U if the data is skewed. A p-value below 0.05 suggests a real difference; report the effect size to show how large it is.

Details

Author

AI Khazna

License

—

Security

Vetted

Type

prompt

Frequently asked questions

What is the Statistical Test Selector prompt?

Pick the correct statistical test for your data and question, with assumptions and how to read the result.

Is Statistical Test Selector free?

Yes, it is free to use.

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