Which hypothesis test has the greatest power? Group of answer choices A) ANOVA with a 70% chance of failing to reject H0 B) t-test with a 75% chance of rejecting H0 C) z-test with a 90% chance of failing to reject H0 D) Chi-square with a 85% chance of rejecting H0
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Power in hypothesis testing is defined as the probability of correctly rejecting the null hypothesis (H0) when it is false. In other words, it is the probability of making a correct decision to reject the null hypothesis when it indeed should be rejected. Show more…
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