data-stats-analysis

Perform statistical tests locally using scipy and statsmodels. Works with any LLM provider.

• Conduct t-tests, ANOVA, correlation, and hypothesis testing
• Apply multiple testing corrections (FDR, Bonferroni)
• Test normality and use non-parametric alternatives
• Execute analyses entirely in local environment

• Uses scipy and statsmodels for accurate statistical analysis
• Runs locally, no cloud dependency
• Compatible with any LLM provider (GPT, Gemini, Claude, etc.)
• Supports both parametric and non-parametric tests
• Includes multiple testing correction (FDR, Bonferroni)
• Provides p-values, confidence intervals, and interpretation
• Handles normality testing and distribution fitting
• No data leakage or external service reliance

1. 1.Import required libraries (scipy, statsmodels, numpy, pandas)
2. 2.Run t-tests, ANOVA, or correlation analysis on data arrays
3. 3.Apply multiple testing corrections (FDR/Bonferroni) for significance
4. 4.Interpret results with p-values and adjust for multiple comparisons