This video looks at Normality test and transfroming skewed data in python (Jupyter Notebook). It further illustrated the affect of sample size on determining if a distribution (PDF) is Normal, aka, Gaussian. Below is a link to the Jupyter Notebook in my Github site:
https://github.com/dmadvoc/PDFs/blob/main/Normality%20Test%20-%20Box%20Cox.ipynb
Chapters
0:00 Introduction
3:29 Beta Distribution
4:27 Lognormal Distribution
6:17 Box-Cox Transformation
9:27 Normality Tests
17:05 Binned Chi-Square Normality Test
18:58 Chi-Square Distribution
20:45 Monte-Carlo Analysis on Sample Size
23:25 Kolomogrov-Smirnov 2-Sample Tests
