In an analysis of variance, squaring the deviation of each score from its group mean and summing these scores computes the:
A) between-group sum of squares.
B) within-group sum of squares.
C) total sum of squares.
D) mean square within groups.

Question

Quizplus · Accepted Answer

Squaring the deviation of each score from its group mean and summing these scores computes the within-group sum of squares, also known as the error sum of squares. The between-group sum of squares is calculated by summing the squared differences between each group mean and the overall mean, while the total sum of squares is the sum of the within-group and between-group sum of squares. The mean square within groups is calculated by dividing the within-group sum of squares by the degrees of freedom within groups.

In an Analysis of Variance, Squaring the Deviation of Each