Statistical package in Python based on Pandas

🐉 Compute and work with indices of effect size and standardized parameters

Effect size calculator within a number of contexts

Helpful plotting and Pandas patterns

Hypothesis Testing and SQL queries on the North Wind Traders database

This project focused on measuring the magnitude of differences between groups in experimental or observational data. While statistical significance tells whether a difference exists, effect size shows how big or meaningful that difference is.

Collaborative Online International Learning (COIL) module evaluation using t-test and Cohen's d effect size

This repo implements scalable, reusable Python scripts to compute key effect size metrics—including Pearson’s r, Eta-squared, Partial Eta-squared, and Cohen’s d—to help quantify relationships and differences in data for statistical analysis.