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Statistical Analyst

插件已验证活跃

Hypothesis testing, A/B experiment analysis, sample size calculation, and confidence intervals. 3 stdlib-only Python tools with Z-test, t-test, chi-square, effect sizes, power analysis, and Wilson score intervals.

1 个 Skill 0 个 MCP

目的

To empower users to make data-driven decisions by providing rigorous statistical analysis capabilities, ensuring that observed differences are real and experiments are designed and interpreted effectively.

功能

Perform Z-tests, t-tests, and Chi-square tests
Calculate effect sizes (Cohen's d, h, Cramér's V)
Compute sample sizes for A/B tests
Calculate confidence intervals for proportions and means
Interpret statistical significance with practical context

使用场景

Analyzing A/B test results to determine if a change had a statistically significant impact.
Calculating the necessary sample size before launching an experiment to ensure it will be conclusive.
Interpreting existing statistical numbers to understand their significance and practical implications.
Validating whether observed differences in data are due to chance or a real effect.

非目标

Designing or instrumenting A/B tests (use dedicated experiment design skills).
Cleaning or validating raw input data (use data quality tools first).
Performing Bayesian inference or multi-armed bandit analysis (these tests are frequentist).
Providing advanced statistical modeling beyond basic hypothesis testing and sample size calculations.

安装

请先添加 Marketplace

/plugin marketplace add alirezarezvani/claude-skills

/plugin install statistical-analyst@claude-code-skills

包含 1 个扩展

Skill (1)

Statistical Analyst 技能

Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes. Use when you need to validate whether observed differences are real, size an experiment correctly before launch, or interpret test results with confidence.