Expert's Guide: How to Choose the Right Significance Level
In statistical hypothesis testing, choosing the significance level (often denoted as alpha or ) is a crucial step that helps determine the threshold for rejecting the null hypothesis. It represents the maximum probability of rejecting the null hypothesis when it is actually true, also known as a Type I error. The choice of significance level…