| The Sum of Squares is a
measure of the variation in an experiment.
It is given by the formula:
The Sum of Squares is used
in ANOVA.
Referring to the data set in the One
Way ANOVA example:
| |
1 |
2 |
3 |
4 |
5 |
Sum
Squares |
|
15% |
8.7 |
9.8 |
12.2 |
12.9 |
9.5 |
13.31 |
|
20% |
14.5 |
17.3 |
14.9 |
15.5 |
12.7 |
11.09 |
|
25% |
16.0 |
13.8 |
18.3 |
17.2 |
18.0 |
13.39 |
|
30% |
23.8 |
21.5 |
18.3 |
24.3 |
22.9 |
23.15 |
|
35% |
9.0 |
14.3 |
10.0 |
14.3 |
7.1 |
41.97 |
|
Total: |
102.91 |
The total is the 'error' because it is
the sum of the within-row variations.
|
