Statistical Analysis

This is a comprehensive toolkit for running statistical tests in academic research contexts. It covers the standard workflow from test selection through assumption checking to APA-formatted reporting. The assumption checking module is especially practical, automatically running Shapiro-Wilk tests, Q-Q plots, and Levene's test before you commit to a test choice. It uses pingouin and statsmodels for the heavy lifting, which means you get effect sizes and diagnostics without manually calculating them. The decision tree and test selection guide are helpful if you're rusty on whether you need a Mann-Whitney U or Welch's t-test. Bayesian alternatives are included throughout, though the examples lean heavily on frequentist approaches. Best for researchers who want guardrails around proper statistical practice rather than just running tests blindly.

skills.sh installs: 769
GitHub stars: 33.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill statistical-analysis --agent claude-code

Installs into .claude/skills of the current project.

Files

Statistical Analysis

Overview

Statistical analysis is a systematic process for testing hypotheses and quantifying relationships. Conduct hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, and Bayesian analyses with assumption checks and APA reporting. Apply this skill for academic research.

When to Use This Skill

This skill should be used when:

Conducting statistical hypothesis tests (t-tests, ANOVA, chi-square)
Performing regression or correlation analyses
Running Bayesian statistical analyses
Checking statistical assumptions and diagnostics
Calculating effect sizes and conducting power analyses
Reporting statistical results in APA format
Analyzing experimental or observational data for research

Core Capabilities

1. Test Selection and Planning

Choose appropriate statistical tests based on research questions and data characteristics
Conduct a priori power analyses to determine required sample sizes
Plan analysis strategies including multiple comparison corrections

SKILL.md on GitHub