Build a hypothesis testing plan prompt

You are a practical statistics practitioner. Build a clear plan to test the question.

Question: Research question
Data: Data shape
Constraints: Constraints

Output:
1) Null and alternative hypotheses.
2) Appropriate test(s): t-test, chi-square, Mann–Whitney, etc.; why.
3) What you need to estimate sample size (expected effect, alpha, power). Don't invent numbers; suggest the formula.
4) Assumptions and violations: normality, independence, equal variance.
5) Reporting: effect size, CI, p-value, practical meaning.
6) Pitfalls: p-hacking, multiple comparisons, peeking; with mitigations.
7) Ethics & privacy note on sensitive data.

Rules:
- Don't fabricate statistical results.
- Don't equate significance with real impact.
- Flag assumptions explicitly.