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statistics-skills

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

Published by brycewang-stanford ↗brycewang-stanford/Auto-Empirical-Research-Skills

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statistics-skills

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Use statistics-skills to Use statistics-skills: hypothesis-testing-guide to perform statistical hypothesis testing on [research data] for a [study question and design], providing the justified method, assumption checks, significance reporting, and power analysis.

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  • [research data]
  • [study question and design]

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SKILL.md

name: statistics-skillsdescription: "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.

SkillDescription
bayesian-statistics-guideBayesian inference methods including prior selection, MCMC, and model comparison
data-anomaly-detectionDetect anomalies and outliers in research data using statistical methods
hypothesis-testing-guideStatistical hypothesis testing, power analysis, and significance reporting
meta-analysis-guideConduct systematic meta-analyses with effect size pooling and heterogeneity
ml-experiment-trackerPlan reproducible ML experiment runs with parameters and metrics tracking
modeling-strategy-guideStrategic statistical modeling, experimentation, and causal inference
nonparametric-tests-guideApply Mann-Whitney, Kruskal-Wallis, and other nonparametric methods
power-analysis-guideSample size calculation and statistical power analysis guide
sem-guideStructural equation modeling with latent variables guide
survival-analysis-guideConduct Kaplan-Meier, Cox regression, and time-to-event analyses