Sum of squares is defined as the sum of
A)every number squared.
B)every mean squared.
C)the squared deviations between the mean and each score.
D)the squared deviations between the mean and each score,divided by the degrees of freedom.

Question

Quizplus · Accepted Answer

The sum of squares is the sum of the squared deviations between the mean and each score. It is an important measure of variability in a dataset and is used in calculating variance and standard deviation. Option A is incorrect as it includes summing all numbers squared, which is not the same as calculating the sum of squares. Option B is incorrect as it suggests summing the mean squared, which is not a meaningful calculation. Option D is incorrect as it includes dividing by the degrees of freedom, which is only necessary when calculating a mean square, not a sum of squares.

Sum of Squares Is Defined as the Sum of