A hub that contains notebooks that perform elementary descriptive statistics of populations and samples and demonstrates 3 hypothesis tests- Welch t-test, Correlation, and Chi-square test. It shows how to run them in python and understand the results

The purpose of this project is to analyze athletic sales data from 2020 and 2021 using Python within Jupyter Notebook. By combining, cleaning, and visualizing the data, we aim to uncover insights into regional sales patterns, retailer performance, and product trends. This analysis can be applied to retail businesses seeking to optimize sales.