A type II error A. arises when the false null hypothesis is not rejected. B. arises when the true null hypothesis is not rejected. C. is the rejection of a true null hypothesis. D. is the rejection of a false null hypothesis
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A type II error
A. arises when the false null hypothesis is not rejected.
B. arises when the true null hypothesis is not rejected.
C. is the rejection of a true null hypothesis.
D. is the rejection of a false null hypothesis.
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Solved in 2 steps
- A Type II error is defined as a. rejecting a null hypothesis when it is in fact true b. failing to reject a false null hypothesis c. rejecting a false null hypothesis d. failing to reject a true null hypothesisA Type I error is defined as a. rejecting a null hypothesis when it is in fact true b. rejecting a false null hypothesis c. failing to reject a true null hypothesis d. failing to reject a false null hypothesisThe error of rejecting a true null hypothesis is a. a Type I error b. a Type II error c. can be either a or b, depending on the situation d. committed when not enough information is available
- A Type I error occurs if you reject the null hypothesis when in fact it is true. a.)True b.)FalseWhen is a researcher at risk of making a Type II error? a. whenever H1 is rejected b. whenever H0 fails to be rejected c. whenever H0 is rejected d. The risk of a Type II error is independent of the decision from a hypothesis test.Which of the following is an example of a Type 1 error? Rejecting a false null hypothesis. Rejecting a true null hypothesis. Failing to reject a false null hypothesis. Failing to reject a true null hypothesis.
- Which of the following relates to the acceptance of the null hypothesis when it is actually true? 1. Type I error 2. Type II error 3. Power 4. A correct decisiona) the null hypothesis for this test would be? b) the alternative hypothesis for this test would be?If you fail to reject the null hypothesis when it is, in fact, false; what type of error is this called? If you retain the null hypothesis when it is, in fact, true; have you made an error? If so, which one? If you reject the null hypothesis, when it is, in fact, true, what type of error have you committed?
- Which of the following is an accurate definition of a type 2 error? rejecting a false null hypothesis rejecting a true null hypothesis failing to reject a false null hypothesis failing to reject a true null hypothesisD. Whymight it be worse to make a Type 1 error in this scenario? E. Suppose that we fail to reject the null hypothesis. Wrote a conclusion statement in the context of the problem. Assume no errors were made.When is a researcher at risk of making a type 2 error? whenever H0 is rejected whenever H1 is rejected whenever H0 fails to reject the risk of a type 2 is independent of the decision from a hypothesis test