data-stats-analysis - Statistical Analysis (Universal)
Perform statistical tests, hypothesis testing, correlation analysis, and multiple-testing corrections locally with scipy and statsmodels.
Tags
Updated: 2026-09-29Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Compare group means
- Test statistical hypotheses
- Analyze variable correlations
- Correct multiple testing
- Test distribution normality
- Perform nonparametric tests
- Calculate confidence intervals
- Calculate effect sizes
- Analyze contingency tables
- Save statistical results
Inputs
- Numeric datasets
- Group labels
- Variable pairs
- P-value arrays
- Contingency tables
- Gene expression data
- Confidence levels
Outputs
- Statistical test results
- P-values and adjusted p-values
- Correlation coefficients
- Confidence intervals
- Effect sizes
- Statistical summary messages
- CSV results file
Requirements
- Local Python environment
- scipy package
- statsmodels package
- numpy package
- pandas package