Which Python libraries are used with this skill?

The skill provides implementation patterns primarily using pandas, scipy.stats, scikit-learn, and matplotlib.

How does it help with A/B testing?

It includes code for calculating control and treatment conversion rates, determining lift, and calculating p-values to check for statistical significance.

Can I use this for data cleaning?

While primarily focused on analysis, the skill's inclusion of anomaly detection and correlation analysis helps identify data quality issues before modeling.

What statistical methods does this skill support?

It provides frameworks for A/B testing, chi-square contingency tests, linear regression, correlation analysis, and general hypothesis testing.

Does this skill help with predictive modeling?

Yes, it covers regression analysis which allows you to define relationships between variables and predict future outcomes based on historical data.

Statistical Analysis

Name: Statistical Analysis
Author: spjoshis

byspjoshis

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数据科学与机器学习

Applies rigorous statistical methods and hypothesis testing to derive data-driven insights and validate experimental results.

The Statistical Analysis skill equips Claude with specialized expertise for evaluating data through advanced mathematical frameworks like A/B testing, linear regression, and significance testing. It is designed for developers and data scientists who need to move beyond raw data to find actionable insights, validate experimental hypotheses, and identify statistically significant trends. By following structured patterns for Python-based analysis and adhering to core statistical best practices, this skill ensures that every conclusion is mathematically sound and scientifically valid.

主要功能

011 GitHub stars

02Automated A/B test significance and lift calculations

03Implementation patterns for linear and multi-variable regression

04Standardized hypothesis testing workflows and p-value interpretation

05Guidance on checking assumptions like normality and independence

06Correlation analysis and statistical anomaly detection

使用场景

01Analyzing A/B test results to determine the impact of new product features

02Validating experimental research through formal significance testing

03Building predictive models for business forecasting and trend analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add spjoshis/claude-code-plugins statistical-analysis

For use in Claude.ai and ChatGPT

Download Skill