Errors in statistical decisions

Question

14 Aug 2021

Answer :

Word Count : 307

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; example: "a guilty person is not convicted"). Much ______ ___ ________ ___ _________ _____ _________ ____ ______ _____.
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