Page 69 - Quantitative Data Analysis
P. 69
Quantitative Data Analysis
Simply Explained Using SPSS
Example # 2
The researcher is interested in the study: do males have significantly
a higher diastolic blood pressure than females? A sample of 45
females has a mean blood pressure of 71.8, with a standard
deviation of 11; a sample of 38 males has a mean blood pressure of
74.9 with a standard deviation of 12. Perform the test at a Group 2: Females
̅
significance level of 0.01.
Group 1: Males Group 2: Females
̅ ̅
a. What type of test is appropriate? Independent -test
b. Null Hypothesis H 0: µ m = µ f
c. Alternative Hypothesis H a: µ m> µ f
d. One- two-tailed test (if one-tailed, left or right):Right tailed
e. What would be a Type I error in this study? Concluding that
male have significantly a higher diastolic blood pressure
than female while in reality they are not higher.
f. What would be a Type II error in this study? Concluding that
male do not have significantly a higher diastolic blood
pressure than female while in reality they do have.
The Theory and Applications of Statistical Inferences 53
