Conduct an ANOVA analysis for the wages/salaries of three categories of workers in your firm. Clearly, indicate the F-Statistic and the Critical Value and their meanings
Wages |
Total |
||||
1 |
2 |
3 |
|||
Salaries |
Managers |
150000 |
148000 |
137000 |
435000 |
Engineers |
120000 |
117500 |
98000 |
335500 |
|
Officers |
80000 |
78000 |
50000 |
208000 |
|
Total |
350000 |
343500 |
285000 |
.
Using Minitab software, (Stat -> ANOVA -> One way), we get the following output :
The test statistic can be written as
which under H0 follows a F distribution with df = (df(Categories), df(Error)) = (2,6)
We reject H0 at 5% level of significance if
Now,
The value of F statistic Fobs = 27.23
and critical value
Since , we reject H0 at 5% level of significance and we can conclude that salaries of different categories workers are significantly different.
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