Can this skill help with violated data assumptions?

Yes, it includes scripts for systematic assumption verification (normality, homogeneity, etc.) and provides specific remedial actions or robust test alternatives.

Does it provide publication-ready results?

Yes, the skill is specifically designed to generate results in APA format and create high-quality visualizations suitable for academic manuscripts.

What statistical tests are supported by this skill?

The skill supports a wide range of tests including t-tests, ANOVA, chi-square, linear and logistic regression, as well as non-parametric and Bayesian alternatives.

Which Python libraries does the skill utilize?

It primarily uses scipy.stats, statsmodels, pingouin for frequentist statistics, and pymc/arviz for Bayesian modeling.

Statistical Analysis Assistant

Name: Statistical Analysis Assistant
Author: Yezez9

byYezez9

0•

データサイエンスとML

Guides researchers through test selection, automated assumption checking, and APA-formatted statistical reporting.

This skill acts as a specialized research consultant within Claude, providing end-to-end guidance for rigorous data analysis. It streamlines the statistical workflow by helping users select appropriate tests, verify critical assumptions through automated diagnostics, and execute complex analyses using Python's leading scientific libraries. Beyond simple calculation, it emphasizes methodological integrity by providing power analyses, effect size interpretations, and publication-ready reporting in APA format, making it an essential tool for academic researchers and data scientists seeking to move from raw data to defensible insights.

主な機能

01Comprehensive hypothesis testing including t-tests, ANOVA, and regression analysis

02Intelligent test selection guide for parametric, non-parametric, and Bayesian methods

03Automated assumption verification with diagnostic visualizations and remedial advice

04Effect size calculation and power analysis for study planning and sensitivity checks

05Standardized APA-style reporting and professional visualization generation

060 GitHub stars

ユースケース

01Conducting academic research analysis for peer-reviewed publication reporting

02Performing Bayesian alternatives to frequentist hypothesis testing

03Troubleshooting violated statistical assumptions in complex datasets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yezez9/research-agent statistical-analysis

For use in Claude.ai and ChatGPT

主な機能

01Comprehensive hypothesis testing including t-tests, ANOVA, and regression analysis

02Intelligent test selection guide for parametric, non-parametric, and Bayesian methods

03Automated assumption verification with diagnostic visualizations and remedial advice

04Effect size calculation and power analysis for study planning and sensitivity checks

05Standardized APA-style reporting and professional visualization generation

060 GitHub stars

ユースケース

01Conducting academic research analysis for peer-reviewed publication reporting

02Performing Bayesian alternatives to frequentist hypothesis testing

03Troubleshooting violated statistical assumptions in complex datasets