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10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation.

skills/analysis/statistics/SKILL.md

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# Statistical Analysis — 10 Skills

Select the skill matching the user's need, then `read` its SKILL.md.

| Skill | Description |
|-------|-------------|
| [bayesian-statistics-guide](./bayesian-statistics-guide/SKILL.md) | Bayesian inference methods including prior selection, MCMC, and model comparison |
| [data-anomaly-detection](./data-anomaly-detection/SKILL.md) | Detect anomalies and outliers in research data using statistical methods |
| [hypothesis-testing-guide](./hypothesis-testing-guide/SKILL.md) | Statistical hypothesis testing, power analysis, and significance reporting |
| [meta-analysis-guide](./meta-analysis-guide/SKILL.md) | Conduct systematic meta-analyses with effect size pooling and heterogeneity |
| [ml-experiment-tracker](./ml-experiment-tracker/SKILL.md) | Plan reproducible ML experiment runs with parameters and metrics tracking |
| [modeling-strategy-guide](./modeling-strategy-guide/SKILL.md) | Strategic statistical modeling, experimentation, and causal inference |
| [nonparametric-tests-guide](./nonparametric-tests-guide/SKILL.md) | Apply Mann-Whitney, Kruskal-Wallis, and other nonparametric methods |
| [power-analysis-guide](./power-analysis-guide/SKILL.md) | Sample size calculation and statistical power analysis guide |
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