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Hyphothesis error 1 and error 2 give 3 example​

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In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "FALSE positive" finding or conclusion; example: "an INNOCENT person is CONVICTED"), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion ...



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