When thinking about statistical hypothesis testing, power is A. the probability that the null hypothesis is...

Question

Question

When thinking about statistical hypothesis testing, power is

A. the probability that the null hypothesis is true.

B. the probability that the null hypothesis is false.

C. the probability a false null hypothesis will be rejected.

D. the probability a true null hypothesis will be rejected.

Answer 1

Answer #1

Power is correctly rejecting the null hypothesis.

Option-C) the probability a false null hypothesis will be rejected.

Answer 2

Similar Homework Help Questions

The probability that a statistical test will reject the null when the null is actually false...

The probability that a statistical test will reject the null when the null is actually false is known as: a) Power b) Confidence c) Hypothesis testing
The power of a test is the probability that we _____ the null hypothesis when the...

The power of a test is the probability that we _____ the null hypothesis when the alternative hypothesis is _____. ? A) reject, true B) accept, true C) accept, false D) reject, false (IT IS NOT D)
6. Which of the following statements about hypothesis testing are true? • A type I error...

6. Which of the following statements about hypothesis testing are true? • A type I error occurs if H, is rejected when it is true. • A type II error occurs if He is rejected when it is true. • The power of a test is the probability of failing to reject H, when it is false.

In hypothesis testing, if the null hypothesis has NOT been rejected when the alternative hypothesis is...

In hypothesis testing, if the null hypothesis has NOT been rejected when the alternative hypothesis is true, a. a Type II error has been committed b. a Type I error has been committed c. the correct decision has been made d. either a Type I or Type II error has been committed
Question 21 (4 points) For a hypothesis test about a population proportion or mean, if the...

Question 21 (4 points) For a hypothesis test about a population proportion or mean, if the level of significance is less than the p- value, the null hypothesis is rejected. (Ch10) True False Question 22 (4 points) Everything else being constant, increasing the sample size decreases the probability of committing a Type II error. (Ch10) True False The power of a statistical test is the probability of not rejecting the null hypothesis when it is true. (Ch10) True False Question...
6. Which of the following statements about hypothesis testing are true? • A type I error...

6. Which of the following statements about hypothesis testing are true? • A type I error occurs if His rejected when it is true. • A type II error occurs if H, is reject ed when it is true, • The power of a test is the probability of failing to reject H, when it is false,

Which of the following statements about hypothesis testing are true? - A type 1 error occurs...

Which of the following statements about hypothesis testing are true? - A type 1 error occurs if is rejected when it is true - A type 2 error occurs if is rejected when it is true - The power of a test is probability of failing to reject when it is false We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
The power of a test is the probability of accepting a null hypothesis that is false....

The power of a test is the probability of accepting a null hypothesis that is false. true or false?
Power is the probability of O A. Failing to reject the null when the null is...

Power is the probability of O A. Failing to reject the null when the null is true B. Rejecting the null when the null is false ° C. Failing to reject the null when the null is false OD. Rejecting the null when the null is true

a is .05 and N-25, the probability of rejecting the null hypothesis if the mull hypothesis...

a is .05 and N-25, the probability of rejecting the null hypothesis if the mull hypothesis is true is: a. .os b..95 c. 05/25 - 01 d..95/25 = .19 e. insufficient information to answer as the popu 4. The sampling distribution of the mean always has the same distribution of the raw scores. a. mean b. standard deviation c. skew d. a and b e. all of the above S. If the sample size on which a standard deviation is...