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statistical-analysis

Automate statistical hypothesis tests, regression, correlation, and Bayesian analyses with assumption checking.

13|3|Updated Jun 10, 2026
Search Tags:#hypothesis testing#regression#statistical analysis#correlation#Bayesian analysis#APA reporting
One-click install
npx skills add https://github.com/tassiovale/claude-code-kit --skill statistical-analysis-tassiovale
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: statistical-analysis
Source: https://github.com/tassiovale/claude-code-kit/tree/main/skills/statistical-analysis
Command: npx skills add https://github.com/tassiovale/claude-code-kit --skill statistical-analysis-tassiovale

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pingouin, scipy, statsmodels, pandas, matplotlib, seaborn, arviz, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of conducting statistical analysis, from test selection to reporting, making it accessible for users without advanced statistical knowledge.

Core Features & Use Cases

  • Test Selection and Planning: Choose appropriate statistical tests based on research questions and data characteristics.
  • Assumption Checking: Automatically verify assumptions before running tests and provide diagnostic visualizations.
  • Statistical Testing: Perform hypothesis tests, regression, correlation, and Bayesian analyses.
  • Effect Sizes and Interpretation: Calculate and interpret effect sizes and provide confidence intervals.
  • Professional Reporting: Generate APA-style statistical reports with publication-ready figures and tables.
  • Use Case: Imagine you are conducting a research study and need to analyze data from a survey. Use this Skill to perform t-tests, ANOVA, and regression analyses, and generate a comprehensive APA-formatted report.

Quick Start

Use the statistical-analysis skill to perform a t-test on the 'survey_data.csv' file with 'score' as the dependent variable and 'group' as the independent variable.

Frequently Asked Questions about statistical-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct statistical hypothesis testing and generate an APA-style report?▼

You can conduct statistical hypothesis testing and generate APA-style reports by using a skill that automates test selection, assumption checking, and professional reporting with publication-ready figures and tables.

What's the best way to run regression and correlation analyses with assumption checking?▼

The best way to run regression and correlation analyses is to use an automated tool that verifies assumptions and provides diagnostic visualizations before running the tests, ensuring your data meets the necessary criteria.

Do I need pandas and scipy to perform Bayesian analysis and calculate effect sizes?▼

Yes, you need pandas, scipy, and arviz to perform Bayesian analysis, calculate effect sizes, and generate confidence intervals, along with pingouin, statsmodels, matplotlib, and seaborn for comprehensive statistical analysis.

Can I use this approach for academic research data from a CSV file?▼

Yes, you can use this approach for academic research by applying it to CSV files to perform t-tests, ANOVA, and regression analyses, generating a comprehensive APA-formatted report from your survey data.

Does this method support automated test selection based on data characteristics?▼

Yes, this method supports automated test selection and planning by choosing appropriate statistical tests based on your specific research questions and data characteristics.

Why does statistical analysis require assumption checking before running tests?▼

Statistical analysis requires assumption checking before running tests to automatically verify assumptions, provide diagnostic visualizations, and ensure the validity of your hypothesis testing, regression, and correlation results.

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