Answer
a) Type 1 error: the probability of rejecting a true null hypothesis. Type 2 error: the probability of failing to reject a false null hypothesis b) Type 1: We reject that the sample has a mean of 25, when in fact it does have a mean of 25. Type 2: We don't reject that the sample has a mean of 25, when in fact it doesn't have a mean of 25
Work Step by Step
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