For each of the following situations, indicate what the general impact on the Ty
ID: 3314342 • Letter: F
Question
For each of the following situations, indicate what the general impact on the Type Il error probability will be: a. The alpha level is increased. b. The "true" population mean is moved farther from the hypothesized popoulation mean. c. The alpha level is decreased. d. The sample size is increased. a. The alpha level is increased. Choose the correct conclusion below O A. An increase in will not change the probability of a Type ll error, all other things held constant. O B. An increase in will result in a increase in the Type II error probability, all other things held constant. ° C. An increase in will result in a decrease in the Type II error probability, all other things held constant. b. The "true" population mean is moved farther from the hypothesized popoulation mean. Choose the correct conclusion below 0 A. Assuming all other factors stay the same, the probability of committing a Type II error decreases. O B. Assuming all other factors stay the same, the probability of committing a Type II error remains the same. O C. Assuming all other factors stay the same, the probability of committing a Type II error increases. c. The alpha level is decreased. Choose the correct conclusion below. ( A. Assuming all other factors stay the same, the probability of committing a Type II error increases. B. Assuming all other factors stay the same, the probability of committing a Type ll error remains the same. C. Assuming all other factors stay the same, the probability of committing a Type II error decreases. d. The sample size is increased. Choose the correct conclusion belovw. 0 A. O B. ° C. Assuming all other factors stay the same, the probability of committing a Type ll error decreases. Assuming all other factors stay the same, the probability of committing a Type II error remains the same. Assuming all other factors stay the same, the probability of committing a Type II error increases.Explanation / Answer
Factors That Affect Power (if power is affected, type 2 error is too)
The power of a hypothesis test is affected by three factors.
Power = 1 - type 2 error
So, if power gets increased, type 2 error gets decreased.
a) C option
b) A option
c) A option
d) A option
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