Leven’s Test
Leven’s test is used to test the homogeneity
of between variances within samples. Some statistical testing start by assuming
that variances are equal among a certain samples or groups. For example, we
need to test the homogeneity of variances of salaries within levels of education
of the employees. The data are given below:
|
Salary |
Level |
|
21894.4 |
B |
|
38539.2 |
B |
|
38177.6 |
A |
|
38738.4 |
B |
|
36481.6 |
B |
|
35226.4 |
A |
|
15516 |
A |
|
15516 |
A |
|
30499.2 |
A |
|
15180 |
A |
|
38539.2 |
C |
|
42812 |
C |
|
47035.2 |
B |
|
35506.4 |
B |
|
31907.2 |
A |
|
38743.2 |
B |
|
33259.2 |
A |
|
43174.4 |
B |
|
38539.2 |
A |
|
38901.6 |
B |
|
35226.4 |
B |
|
39984.8 |
A |
|
49024 |
B |
|
18020 |
A |
|
15516 |
A |
|
41507.2 |
A |
|
37688.8 |
A |
|
31346.4 |
B |
|
15973.6 |
A |
|
24338.4 |
A |
|
28950.4 |
B |
|
18020 |
A |
|
24014.4 |
A |
|
31346.4 |
A |
|
24338.4 |
A |
|
35226.4 |
A |
|
28592.8 |
A |
|
35226.4 |
A |
|
48035.2 |
A |
|
33744 |
A |
|
33259.2 |
A |
|
38177.6 |
C |
|
36989.6 |
B |
|
38901.6 |
A |
|
38539.2 |
A |
|
41035.2 |
B |
|
35226.4 |
B |
|
35226.4 |
A |
|
40439.2 |
C |
|
36989.6 |
C |
|
24160 |
B |
|
36140 |
A |
|
15481.6 |
A |
|
18020 |
A |
|
19684.8 |
B |
|
15481.6 |
A |
|
33744 |
B |
|
35226.4 |
A |
|
38539.2 |
A |
|
38743.2 |
B |
|
38901.6 |
A |
|
17192.8 |
A |
|
30368.8 |
B |
|
38539.2 |
A |
|
25833.6 |
A |
|
25833.6 |
A |
|
28950.4 |
B |
|
41793.6 |
C |
|
38743.2 |
C |
|
38539.2 |
B |
|
31310.4 |
B |
Using the Rcmdr, click on statistics, variances then Leven’s test. 
The results of the test are shown in the below figure. It can be seen that the F calculated value (0.006244) < F-Value (5.4764);thus, salaries are not homogenous between different educational levels of employees or there is a significant difference between variances according to educational levels.

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