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Statistical Test Selection Guide
Choose the appropriate statistical test for {{comparison_scenario}} with assumptions and interpretation.
Updated June 2026
The prompt
Recommend the statistical test for {{comparison_scenario}}. Provide: - Sample size and power considerations - Test choice (t-test, chi-square, Mann-Whitney, ANOVA, Fisher exact, etc.) with justification - Assumptions to validate (normality, homogeneity of variance, independence) - Effect size interpretation (Cohen's d, odds ratio, etc.) - p-value threshold and how to communicate results to non-technical stakeholders - Common pitfalls (multiple comparisons, p-hacking, selection bias) Include 1-2 sentence business interpretation of 'statistically significant'.
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AI Khazna
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Security
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