Math, asked by Giridharan4877, 1 year ago

What is a Type I error?

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Answered by Anonymous

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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 or conclusion), while a type II error is the failure to reject a false null hypothesis (also known as a "false negative" finding or conclusion).

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