1. Selecting the most powerful test Aa Aa Suppose you conduct a research study t
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1. Selecting the most powerful test Aa Aa Suppose you conduct a research study to compare the effects of two drugs, drug A and drug B. Suppose drug B is truly more effective than drug A (Ps > ?. but your study failed to reject the null hypothesis (Ho: ??-le). Assuming you believe drug B is more effective than drug A, what can you conclude on the basis of your results? O Your study did not have enough power to detect a difference between drug A and drug B. O You must have accidentally reversed drugs A and B when conducting the study, so your results were wrong. O Drug A is actually more effective than drug B. O Drug B is not more effective than drug A. When you are designing a research study and considering what hypothesis test you might use, a common rule of thumb is to select the most powerful test. Why is this a good idea? O The most powerful test is the test most likely to result in a Type II error. O The most powerful test is the test least likely to get the wrong answer. The most powerful test is the test least likely to result in a Type II error. O The most powerful test is the test least likely to result in a Type I error.Explanation / Answer
In this case, we do the Type 2 error because we failed to reject the null hypothesis when it is false
a) Option B is Correct, you might reversed the drugs
b) The most powerful test results in a Type 2 error
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