Using a significance level of 0.05, test for equal means given the following:
Source |
Df |
SS |
MS |
F |
Factors |
2 |
120 |
60.0 |
15.0 |
Error |
15 |
60 |
4.0 |
|
Total |
17 |
180 |
given that the degree of freedom of regression or df1 is 2 and degree of freedom of error or df2 is 15
use F distribution table for 0.05 significance level
check df1 in the top row and df2 in the left most column, then select the intersecting cell, we get F critical value
F critical = 3.682
it is clear that the F calculated is greater than the F critical value
therefore, result is significant and we can reject the null hypothesis
we can conclude that there is a significant difference between the means because the result is significant at 0.05 significance level
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