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Statistical Significance Test Selector

Recommend appropriate statistical tests based on data distribution, sample size, and research question to validate experimental results.

Updated June 2026
The prompt
I'm comparing {{group_count}} groups on {{metric_name}}. Dataset: {{sample_size}} observations, {{data_type}}, {{distribution_shape}}. I need to test {{research_hypothesis}}. Recommend: 1) appropriate test (parametric vs. non-parametric), 2) assumptions to verify beforehand, 3) effect size interpretation thresholds, 4) statistical power and sample adequacy, 5) alternative tests if assumptions fail. Provide test formula, interpretation guidance, and common pitfalls to avoid.
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Variables

Number of groups (e.g., 2 for A/B test)
Metric or outcome variable
Total observations or per-group size
Data type (continuous, binary, count)
Distribution (normal, skewed, bimodal, etc.)
What you want to test (e.g., difference in means)

Details

Author

AI Khazna

License

Security

Type

prompt

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