19. What is the consequence of a Type I error? a. Concluding that a treatment ha

ID: 3024383 • Letter: 1

Question

19. What is the consequence of a Type I error?

a. Concluding that a treatment has an effect when it really does

b. Concluding that a treatment has an effect when it really has no effect

c. Concluding that a treatment has no effect when it really does

d. Concluding that a treatment has no effect when it really has no effect

20. If other factors are held constant, the larger the size of the treatment effect, the greater the power of the hypothesis test.

True

False

21. What is the relationship between the alpha level, the size of the critical region, and the risk of a Type I error?

a. As the alpha level increases, the size of the critical region decreases and the risk of a Type I error decreases.

b. As the alpha level increases, the size of the critical region decreases and the risk of a Type I error increases.

c. As the alpha level increases, the size of the critical region increases and the risk of a Type I error decreases.

d. As the alpha level increases, the size of the critical region increases and the risk of a Type I error increases.

22. In general, the null hypothesis states that the treatment has no effect on the population mean.

True

False

19. What is the consequence of a Type I error?

ANSWER: d. Concluding that a treatment has no effect when it really has no effect

20. ANSWER: False

21. ANSWER: d. As the alpha level increases, the size of the critical region increases and the risk of a Type I error increases.

22. ANSWER: True

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