Hypothesis testing with 2021 USA W's volleyball

In the context of the 2021 Summer Season, data from the USA National Team was used to prove (and disprove) some hypotheses in a strict statistical sense

The work includes a data exploration section, that uses both descriptive statistics and visualization techniques

Hypothesis testing proceeds from the analysis of a contingency table, using Binomial test, Chi-square test, and Fisher's exact test to investigate null and alternative hypotheses

This work was developed with Python in a Jupyter Notebook, using Pandas as a framework for most operations, Plotly and Seaborn as visualization libraries

Scroll below to see process and results