Math, asked by Anurag6903, 1 year ago

Null hypothesis type 1 error false positive false negative

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Answered by abhishek686
1
A type I error (false-positive) occurs if an investigator rejects a null hypothesis that is actually true in the population; a type II error (false-negative) occurs if the investigator fails to reject a null hypothesis that is actually false in the population.
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