Normal Distribution and Shapiro-Wilk Test in Python
Normal distribution is a statistical prerequisite for parametric tests like Pearsonβs correlation, t-tests, and regression. Testing for normal distribution can be done visually with sns.displot(x, kde=true). The Shapiro-Wilk test for normality can be done quickest with pingouin‘s pg.normality(x). π‘ Note: Several publications note that normal distribution is the least important prerequisite for parametric tests and … Read more