As researcher designs a study to measure the effect on patient satisfaction of the nurse stating to the patient at least once a day, "You're a good person."
The researcher sets the alpha (type I error) for the study at p <.10 because the intervention is free, it needs next to no time to enact, and it is harmless. If the alpha is set at .10, what is the effect on the beta [?] and on type II error? (Select all that apply.)
a. Beta [ß] stays the same.
b. Type II error becomes less likely.
c. Type II error becomes more likely.
d. Beta [ß] decreases.
e. Beta [ß] increases as well.
f. Type II error stays the same.
ANS: B, D
The researcher chooses the probability of making a type I error when setting alpha [α], and if the researcher sets the probability of making a type I error quite low, perhaps only 1%, the probability of making a type II error, [ß], increases. By the same token, if the researcher sets the probability of making a Type I error quite high, perhaps 10%, the probability of making a type II error decreases.
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