statistics-skills

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

Statistical Analysis — 10 Skills

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

Skill	Description
bayesian-statistics-guide	Bayesian inference methods including prior selection, MCMC, and model comparison
data-anomaly-detection	Detect anomalies and outliers in research data using statistical methods
hypothesis-testing-guide	Statistical hypothesis testing, power analysis, and significance reporting
meta-analysis-guide	Conduct systematic meta-analyses with effect size pooling and heterogeneity
ml-experiment-tracker	Plan reproducible ML experiment runs with parameters and metrics tracking
modeling-strategy-guide	Strategic statistical modeling, experimentation, and causal inference
nonparametric-tests-guide	Apply Mann-Whitney, Kruskal-Wallis, and other nonparametric methods
power-analysis-guide	Sample size calculation and statistical power analysis guide
sem-guide	Structural equation modeling with latent variables guide
survival-analysis-guide	Conduct Kaplan-Meier, Cox regression, and time-to-event analyses