What reporting standards does this skill follow?

The skill is optimized to generate statistical reports following APA (American Psychological Association) standards, which are widely used in social sciences and academic research.

Can it help me choose which statistical test to use?

Yes, it includes a test selection guide and decision tree to help determine the most appropriate test based on your data type and research questions.

Does this skill help with study design or literature reviews?

No, this skill is specifically for data analysis. For methodology design and literature reviews, you should use the conducting-research skill.

Does it support automated assumption checking?

Yes, the skill includes specialized scripts and protocols for checking statistical assumptions like normality, homogeneity of variance, and multicollinearity.

Statistical Data Analysis

Name: Statistical Data Analysis
Author: Git-Fg

byGit-Fg

•

Data Science & ML

Performs rigorous statistical analysis, hypothesis testing, and APA-compliant reporting for academic and experimental research.

The Statistical Data Analysis skill provides a comprehensive framework for researchers and data scientists to conduct end-to-end statistical workflows within Claude Code. It automates complex tasks such as choosing the correct statistical test, verifying assumptions like normality and homogeneity, executing regression and Bayesian analyses, and calculating effect sizes. By standardizing the analysis protocol, it ensures that experimental results are processed accurately and reported according to professional APA standards, making it an essential tool for academic publication and data-driven decision-making.

Key Features

01Advanced regression and correlation analysis

021 GitHub stars

03Comprehensive hypothesis testing (t-tests, ANOVA, chi-square)

04APA-style report generation for research findings

05Bayesian statistical modeling and inference

06Automated statistical assumption checking and diagnostics

Use Cases

01Validating business hypotheses through regression and power analysis

02Analyzing experimental data for peer-reviewed academic publications

03Verifying statistical assumptions before performing complex data modeling

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add git-fg/thecattoolkit analyzing-data

For use in Claude.ai and ChatGPT

Download Skill