Type 1 error is...
a. Correctly rejecting the null hypothesis.
b. Rejecting the null hypothesis when it's actually true.
c. Correctly failing to reject the null hypothesis.
d. Failing to reject the null hypothesis when it's actually false.
2. Power is defined as the probability of...
a. Correctly rejecting the null hypothesis.
b. Correctly failing to reject the null hypothesis.
c. Failing to reject the null hypothesis when it's actually false.
d. Rejecting the null hypothesis when it's actually true.
3. From Study Example 1: Based on the sample, researchers decide to reject the null hypothesis, determining that high school students are sleep deprived. However, additional studies come to the opposite conclusion, finding no evidence of sleep deprivation in high school students.
This is an example of...
a. power.
b. type II error.
c. type I error.