In the analysis of variance, the sum of all samples' sums of squared deviations of individual observations from their sample mean equals the error mean square.

Question

Quizplus · Accepted Answer

The sum of all samples' sums of squared deviations of individual observations from their sample mean equals the total sum of squares, not the error mean square. The error mean square is calculated by dividing the sum of squares within groups (or error) by the degrees of freedom within groups.

In the Analysis of Variance, the Sum of All Samples