Understanding Type I And Type II Errors Statistics Round Clock

Ad: Understanding Type I And Type II Errors Statistics Round Clock

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 clock! Perfect clock for any hypothesis tester! myStatistics

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