Hypothesis Testing: Central Tendency – Non-Normal (Compare 1:Standard)

The document outlines the importance of hypothesis testing and its role in identifying root causes through the construction of transfer functions. It details a practical framework for conducting hypothesis tests, including defining objectives, stating hypotheses, and interpreting results, while providing guidance on selecting appropriate statistical tests based on data characteristics. Additionally, it emphasizes using non-parametric tests, such as the 1-sample sign and Wilcoxon tests, for analyzing non-normal distributions in understanding organizational metrics.