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
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.
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