Advanced topic: The sum of the squared deviations of each score from the mean of its group plus the sum of the squared deviations of each score's group's mean from the grand mean equals A)the grand mean divided by df_Total. B)the portion of the grand mean's deviation accounted for by the score itself. C)the portion of the grand mean's deviation accounted for by the score's group. D)the sum of squared deviations of each score from the grand mean.

Question

Quizplus · Accepted Answer

This is known as the total sum of squares (TSS) formula, which represents the total variance in the data. Specifically, it is the sum of the squared deviations of each score from the grand mean, indicating how much each individual score varies from the overall average.

Advanced Topic: the Sum of the Squared Deviations of Each