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Answer :
Final answer:
The relationship between Power and Type II error is that increasing Power decreases the probability of Type II error. Calculating Power may be required on the AP exam.
Explanation:
The relationship between Power and Type II error is that Power is the probability of correctly rejecting a false null hypothesis, while Type II error is the probability of failing to reject a false null hypothesis. They are related in the sense that increasing the Power of a test decreases the probability of Type II error.
On the AP exam, you may be expected to calculate the Power of a test. This involves determining the sample size, the desired significance level, and the effect size. You would then use these values to calculate the Power using appropriate statistical methods.
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