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Harper Martin——Studied at the University of Amsterdam, Lives in Amsterdam, Netherlands.
Type I and type II errors. ... In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding), while a type II error is retaining a false null hypothesis (also known as a "false negative" finding).read more >>+119962023-06-27 08:57:19
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