The treatment sum of squares measures the variability of the sample treatment means around the overall mean.
A mean can be defined as a ratio of the sum of the total number in a data set (population) to the frequency of the data set.
This ultimately implies that, a mean score is an average score and it can be calculated by dividing the total number of scores obtained by total number of samples in a data set (population).
In ANOVA, the following sum of squares can be used to measure the variation about the mean:
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