Page 61 - Quantitative Data Analysis

Quantitative Data Analysis
Simply Explained Using SPSS

4. What is the definition of a Type I error?
a. Rejection of the null hypothesis when it is true
b. Failure to reject a null hypothesis that is false
c. Rejecting a null hypothesis
d. Failing to reject a null hypothesis

5. What is the definition of a Type II error?
a. Rejection of the null hypothesis when it is true
b. Failure to reject a null hypothesis that is false
c. Rejecting a null hypothesis
d. Failing to reject a null hypothesis

6. The level of significance for a study refers to
a. The probability of a Type I error.
b. The probability of a Type II error.
c. The probability of not making an error.

7. A doctor hypothesizes that his new treatment procedure
will significantly decrease patients' blood pressure. What
test should he use?
a. Right-tailed
b. Left-tailed
c. Two-tailed
d. Three-tailed

The Theory and Applications of Statistical Inferences 45