In hypothesis testing, if the power of a hypothesis test is 96%, which of the following statements is true about this test? a. The probability of a Type II error is 0.96. b. The probability of a Type II error is 0.04. c. The probability of a Type I error is 0.04. d. The probability of Type I error is 0.96.

The power of hypothesis test is (when a = Type I error and b = Type II error)

There is a direct relationship between the power of a test and the probability of a Type II error.Group of answer choicesTrueFalse

How does the concept of statistical power relate to Type II Error?  A. High statistical power reduces the risk of Type II Error  B. High statistical power increases the risk of Type II Error  C. Type II Error is not influenced by statistical power  D. Statistical power is irrelevant in hypothesis testing

Determine the probability of finding an effect if there is an effect to be found (i.e. power) if the probability of finding a type II error is .63Question 20Answera..95b..05c..37d.Not enough information provided

Which of the following statements regarding hypothesis test is FALSE?a. There is a trade-off between the probability of Type I and the probability of Type II errors.b.The smaller the significance level, the smaller the probability of a Type I error.c.If the null hypothesis is true, the distribution of the test statistic is standard normal.d.The higher the probability of a type I error, the higher the likelihood that we will retain a false null hypothesis.