Epi/Biostat

Type I Error vs. Type II Error

According to Wikipedia, incorrectly rejecting a true null hypothesis is a type I error (a “false positive”). In contrast, failing to reject a false null hypothesis is a type II error (a “false negative”). Confusing? It surely is. There are 5 steps to make this concept solid inside your brain. Step 1: Understanding the terminology. […]