Individual skill
data-stats-analysis
Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
scientific-skills/Data Analysis/data-stats-analysis/SKILL.md
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- testing Derived category
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Statistical Analysis (Universal)
## Overview
This skill enables you to perform rigorous statistical analyses including t-tests, ANOVA, correlation analysis, hypothesis testing, and multiple testing corrections. Unlike cloud-hosted solutions, this skill uses standard Python statistical libraries (**scipy**, **statsmodels**, **numpy**) and executes **locally** in your environment, making it compatible with **ALL LLM providers** including GPT, Gemini, Claude, DeepSeek, and Qwen.
## When to Use This Skill
- Compare means between groups (t-tests, ANOVA)
- Test for correlations between variables
- Perform hypothesis testing with p-value calculation
- Apply multiple testing corrections (FDR, Bonferroni)
- Calculate statistical summaries and confidence intervals
- Test for normality and distribution fitting