p-values in Normality Tests using Python
Автор: David Advocate
Загружено: 2023-11-10
Просмотров: 178
This video explores p-values for Beta distributions that look Normal using a Python Script. Using Monte-Carlos trials, Beta distributions are tested for a range of sample sizes and dispersion (standard deviations) to find out what portion of 1,000 trials have p-values greater than 0.05 using the Shapiro-Wilks Normality test. A link to the Python Jupyter Notebook at my Github site is below:
https://github.com/dmadvoc/PDFs/blob/...
Chapters
0:00 Introduction
2:48 Monte-Carlo of a Normal PDF by Sample Size with Normality Tests
4:35 Monte-Carlo of a Normal-like Beta Distribution by Sample Size with Normality Tests
5:55 Monte-Carlos of Beta Distributions at different dispersions with Normality Tests
9:41 Monte-Carlos of Beta Distributions at different dispersions with percent of p-values gt 0.05
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