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IE330_Review8-9_2011

IE330_Review8-9_2011 - True/False problems(True or False is...

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(True or False) α is defined as the probability that a type I error could be made. (True or False) α is defined as the probability that a type II error could be made. (True or False) α is defined as the probability that the hypothesis test conclusion will be wrong. True/False problems

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(True or False) β is defined as the probability that a type II error could be made. (True or False) β is defined as the probability that a type I error could be made. (True or False) β is defined as the probability that the hypothesis test conclusion will be wrong. True/False problems
(True or False) Power is defined as the probability that the null hypothesis will be rejected given that the null hypothesis is false. (True or False) Power is defined as the probability that the null hypothesis will fail to be rejected given that the null hypothesis is false. (True or False) Power is defined as the probability that the null hypothesis will be rejected given that the null hypothesis is true. True/False problems

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(True or False) For H0: µ = 50 vs. H1: µ < 50, if the null hypothesis is rejected at α = 0.05, then we can say that the null hypothesis would also be rejected at α = 0.10. (True or False) For H0: µ = 50 vs. H1: µ ≠ 50, if the null hypothesis is rejected at α = 0.05, then we can say that for H0: µ = 50 vs. H1: µ < 50, the null hypothesis would also be rejected at α = 0.025. (True or False) For H0: µ = 50 vs. H1: µ ≠ 50, if the null hypothesis is rejected at α = 0.05, then we can say that for H0: µ = 50 vs. H1: µ ≠ 50, the null hypothesis would fail to be rejected at α = 0.025.
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IE330_Review8-9_2011 - True/False problems(True or False is...

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