Ad: Understanding Type 1 And Type 2 Errors Statistics Glass
No need to be a statistician or psychologist to understand type I and type II statistical errors. Type I error is an α error or a "false positive": the error of rejecting a null hypothesis when it is actually true. Type II error is a β error or a "false negative": the error of failing to reject a null hypothesis when it is in fact not true. Showcase your knowledge and understand of who is right and who is wrong with this statistical attitude tumbler! myStatistics
#type #error #words #Glass
No comments:
Post a Comment