If beta, ß, is the probability of making a type II error, what is 1 minus ß? (Select all that apply.)
a. Alpha [?]
b. A relationship exists
c. The power of the study
d. The likelihood that the null hypothesis is incorrect
e. The probability of not making a type II error
ANS: C, E
Power is the probability that a statistical test will detect an effect when it actually exists. Therefore, power is the inverse of type II error and is calculated as 1 – ß. Recall that type II error is the probability of retaining the null hypothesis when it is in fact false. When the researcher sets type II error at 0.20 prior to conducting a study, this means that the power of the planned statistic has been set to 0.80. In other words, the statistic will have an 80% chance of detecting an effect if it actually exists.
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