Question 6Power is the likelihood of1 pointrejecting the null hypothesis when it is actually true.rejecting the null hypothesis when it is actually false.a Type I error.a Type II error.

A _____ occurs when the sample results lead to not rejecting a null hypothesis that is in fact false.a.Type II errorb.Type III errorc.Type IV errord.Type I errore.power error

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

Power can also be defined as 1 minus the probability of a Type I error.Select one:TrueFalse

What is statistical power?Review LaterThe probability of correctly rejecting the null hypothesis when the alternative hypothesis is true.The probability of committing a Type I error (false positive), which is rejecting the null hypothesis when it is true.The probability of committing a Type II error (false negative), which is failing to reject the null hypothesis when the alternative hypothesis is true.None of the above

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.