Option b) is the correct answer.
A type I (false-positive) error occurs when an investigator rejects a null hypothesis that is actually true in the population; a type II (false-negative) error occurs when an investigator fails to reject a true null hypothesis.
Thus, rejecting the null hypothesis when it is true is referred to as a type | error, whereas failing to reject a false null hypothesis is referred to as a type || error.
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