statistical-analyst — Claude Code plugin for experiment analysis
Run hypothesis tests, assess A/B experiments, estimate sample sizes, and calculate confidence intervals with this Claude Code plugin.
/plugin marketplace add alirezarezvani/claude-skills
/plugin install statistical-analyst@claude-code-skillsWhat statistical-analyst does
The plugin includes three Python tools: Z-tests, t-tests, and chi-square tests with effect sizes; a sample-size calculator that exposes power tradeoffs; and Wilson score confidence intervals. Use them to compare groups or estimate the uncertainty around a proportion.
The tools rely on Python’s standard library alone, so their calculations do not require third-party Python packages. The tests cannot tell you whether an experiment was designed or collected correctly; interpret their results in light of how the data was gathered.
What it helps with
- test whether two groups differ
- estimate the effect in an A/B experiment
- calculate a sample size while considering statistical power
- find a Wilson score interval for a proportion
Example prompts for the agent
- Analyze this A/B experiment and estimate its effect size.
- Calculate a suitable sample size while accounting for statistical power.
- Find the Wilson score confidence interval for this proportion.
How to install statistical-analyst
Plugin marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install statistical-analyst@claude-code-skillsStep by step, with commands for each platform: Claude Code plugins: marketplaces, installing, and building your own
Questions about statistical-analyst
How do I install statistical-analyst in Claude Code?
Run /plugin marketplace add alirezarezvani/claude-skills first, then run /plugin install statistical-analyst@claude-code-skills.
What does statistical-analyst do?
It provides tools for hypothesis tests, A/B experiment analysis, sample-size calculations, and confidence intervals.
Does statistical-analyst need third-party Python packages?
No. Its tools use only Python’s standard library.
Source text
statistical-analyst · MIT
Hypothesis testing, A/B experiment analysis, sample size calculation, and confidence intervals. 3 stdlib-only Python tools: Z-test/t-test/chi-square with effect sizes, sample size calculator with power tradeoffs, and Wilson score confidence intervals.
© Alireza Rezvani · MIT · alirezarezvani/claude-skills
