Examine the following two-factor analysis of variance table (shown below). Determine if interaction exists between factor A and factor B. Use alpha = 0.05.
Source |
SS |
df |
MS |
F-Ratio |
Factor A |
162.79 |
4 |
||
Factor B |
28.12 |
|||
AB Interaction |
262.31 |
12 |
||
Error |
________ |
___ |
||
Total |
1,298.74 |
84 |
Null Hypothesis A and B are independent of each other
ALternative Hypothesis A and B are not independent
ANOVA Table :
Source | SS | df | MS | F-Ratio | F at 5% level |
Factor A | 162.79 | 4 | 162.79/4 =40.70 | 40.70/12.143=3.352 | F(4,65) =2.513 |
Factor B | 28.12*3 =84.36 | 12/4 =3 | 28.12 | 28.12/12.143=2.316 | F(3,65) =2.746 |
Interaction A B | 262.31 | 12 | 262.31/12 =21.86 | 21.86/12.143=1.800 | F(12,65)=1.904 |
Error | 1298.74-(162.79+84.36+262.31)=789.28 | 84-(4+3+12)=65 | 789.28/65=12.143 | ||
Total | 1298.74 | 84 |
Since F calculated for Interaction is less than F tabulated. Fail to Reject H0.
Hence A and B are independent to each other.
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