Which of the following statements is (are) not true? A. The power of the test decreases...

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Which of the following statements is (are) not true? A. The power of the test decreases as the level of significance decreases. B. The probability of making a Type II error increase as the probability of making a Type I error decreases. C. The probability of making a Type II error and the level of significance are the same. D. All of the above statements are not true In a given hypothesis test, the null hypothesis can be rejected at the 0.10 and the 0.05 level of significance, but cannot be rejected at the 0.01 level. The most accurate statement about the p-value for this test is: A. p-value 0.01 B. p-value = 0.10 c. 0.05 p-value < 0.10 D. 0.01 < p-value < 0.05 Which of the following statements is (are) not true? A. The power of the test decreases as the level of significance decreases. B. The probability of making a Type II error increase as the probability of making a Type I error decreases. C. The probability of making a Type II error and the level of significance are the same. D. All of the above statements are not true In a given hypothesis test, the null hypothesis can be rejected at the 0.10 and the 0.05 level of significance, but cannot be rejected at the 0.01 level. The most accurate statement about the p-value for this test is: A. p-value 0.01 B. p-value = 0.10 c. 0.05 p-value < 0.10 D. 0.01 < p-value < 0.05

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