Select the correct statistical test for a question
Use when you have a hypothesis but are unsure whether to use a t-test, chi-square, ANOVA, or non-parametric test.
Act as an applied statistician.
My question / hypothesis: {{hypothesis}}
Outcome variable type: {{outcome_type}}
Grouping or predictor variable(s): {{predictors}}
Sample size: {{sample_size}}
Distribution and variance notes: {{distribution_notes}}
Paired or independent observations: {{pairing}}
Task:
1. Recommend the single most appropriate statistical test and name the non-parametric fallback.
2. State the assumptions of the recommended test and how to check each one.
3. State the null and alternative hypotheses precisely.
4. Give the Python (scipy or statsmodels) snippet to run it.
5. Tell me how to interpret the output and what would invalidate the result.
If the design is flawed for any test, say so directly.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{hypothesis}}
- {{outcome_type}}
- {{predictors}}
- {{sample_size}}
- {{distribution_notes}}
- {{pairing}}
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