Ad: Understanding Type 1 And Type 2 Errors Statistics Trivet
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 trivet! myStatistician
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