Dr. Anders believes that the type of college one attends and the location of the college impacts people's satisfaction with their jobs (scores range from 1-7). The type of college is divided into 3 groups ( College; 2= Undergraduate only College; and and Undergraduate College) and location is divided into 3 areas of the country ( Coast; ; and West Coast). She collects data from 40 students per group combination (N).
A. What are the independent and dependent variables and how are each scaled (1 pt each; Total 6 pts)?
Independent:________________________ Scaling:_____________________________
Independent:________________________ Scaling:_____________________________
Dependent:__________________________ Scaling:_____________________________
B. What test should Dr. Anders use?__________________________________________________
C. Why that test?
D. What are the null and alternative hypotheses for that test?
E. What are that tests assumptions?
Dr. Anders calculates the appropriate test and rejects H0 for the effect of college (test value of 3.69, df= 2 and 352) and the effect of location (test value of 5.72, df= 2 and 352) but retains H0 for the combination of the two (test value of 1.75, df= 4 and 352).
Below are the means (standard deviation):
|
Community
|
UG Only
|
Grad & UG
|
Total
|
|
East
|
3.14 (.87)
|
4.52 (.99)
|
5.94 (1.01)
|
4.53 (.96)
|
|
Midwest
|
2.87 (.74)
|
4.29 (.51)
|
5.21 (.94)
|
4.12 (.73)
|
|
West
|
3.58 (1.11)
|
4.71 (1.20)
|
5.62 (.95)
|
4.64 (1.09)
|
|
3.20 (.91)
|
4.51 (.90)
|
5.59 (.97)
|
|
F. Draw at least one graph to represent the data
G. Interpret the findings: