About this document
How to Calculate P-value in Python by Muhammad Ismael is a document available to read on EtoBox.
This document discusses calculating p-values through bootstrapping and hypothesis testing. It loads coffee height data, takes random samples with replacement to generate bootstrap samples, and calculates the standard deviation of the means of these samples. Null values are generated from a normal distribution using this standard deviation. Various hypotheses are tested by comparing the sample mean to regions of the null distribution to obtain one-tailed and two-tailed p-values. P-values near 0 indicate the
- Author
- Muhammad Ismael
- Language
- EN