Statistical Analysis in Python - 362 - Comparing Two Groups (Statistical Analysis in Python: Tutorial 4)

Statistical Analysis in Python: Tutorial 4 – Comparing Two Groups In this fourth tutorial of the Statistical Analysis in Python series, we focus on comparing two groups using parametric statistical tests. Building on our previous lesson on data distributions, we begin by checking for normality and then dive into hypothesis testing. Topics covered: Fundamentals of hypothesis testing and p-values Independent samples t-test Paired samples t-test Chi-square test for categorical variables Effect sizes and their interpretation Statistical power and sample size considerations We demonstrate all concepts using Python code applied to the UCI Heart Disease Dataset, making it easy to follow and apply to your own data. Code: https://github.com/bnsreenu/python_for_microscopists/blob/master/362_Comparing_Two_Groups.ipynb Note: This tutorial focuses on parametric tests. The next video will cover non-parametric alternatives.