What is type 1 and type 2 error in hypothesis testing?
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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 acceptance of a false null hypothesis (also known as a "false negative" finding or conclusion)
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