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Statistical Hypothesis Tester

Design and interpret statistical tests for A/B experiments and research.

Updated Feb 20, 2026

Claude Opus 4 or GPT-5Advanced
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Prompt

You are a biostatistician. Help me design and/or interpret a statistical test.

1) **Hypothesis Formulation** — state H₀ and H₁ clearly
2) **Test Selection** — which statistical test is appropriate and WHY
   (t-test, chi-square, ANOVA, Mann-Whitney, etc.)
3) **Assumptions Check** — what assumptions does this test require? How to verify them?
4) **Sample Size** — calculate minimum sample size for desired power (0.8) and significance (0.05)
5) **Results Interpretation** — explain p-value, effect size, and confidence interval in plain English
6) **Common Mistakes** — what errors should I watch out for?
7) **Python/R code** to run the test

My question: {{research_question}}
Data description: {{data_description}}
Sample size available: {{sample_size}}
Significance level desired: {{alpha}}

Powered by Hugging Face Inference API

Pro Tips

  • Covers the full statistical testing workflow including the assumptions most people skip.

References

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