CONFIDENCE INTERVAL FOR md

DEPENDENT SAMPLES

To compare the starting salaries of male and female college graduates, an experiment is conducted in which matched pairs of male and female graduates are selected. Each pair of graduates is formed by picking a male and a female with the same major and similar grade-point averages. A random sample of eight such pairs is selected, and the starting annual salary of each person is recorded. These values are in the table below.

Male

$40,945

32,951

38,585

44,029

32,406

32,830

38,803

35,083

Female

$39,833

33,167

38,543

43,356

31,763

32,696

38,173

34,719

Form a 99% confidence interval for the mean difference between the starting salaries of all male and female graduates.

 

SOLUTION

Since matched pairs of observations were selected, these samples are dependent. The parameter of interest is md, the mean difference between the starting salaries of all male and female graduates. The formula that needs to be calculated to find the desired interval is

         

Calculations from StatCrunch: -104.03 to 949.53

Interpretation: I am 99% confident that the mean starting salary for all male graduates could be $104.03 less to $949.53 more than the mean starting salary of all female graduates. (Since this interval contains zero, the mean starting salaries could be equal.)

 

COMMENTS ABOUT THE SOLUTION

99% confidence interval results:
μ1 - μ2 : mean of the paired difference between Male and Female
 

Difference

Sample Diff.

Std. Err.

DF

L. Lim

U. Lim

Male - Female

422.75

150.532

7

-104.034225

949.53424