Type I Errors 1. You should set up your null and alternative hypotheses, so that the worst of your errors is the type I error. 2. They are denoted by the symbol α. 3. The definition of a type I error is: Deciding the alternative (H1) is true, when actually (H0) is true. 4. Type I errors are often called false positives. Type II Errors 1. They are denoted by the symbol β. 2. The definition of a t..
