The SS, sum of squares, is equal to
A) the sum of the squared scores
B) the sum of the scores, squared
C) the sum of the squared deviations of all the scores from the mean
D) the sum of the squared deviations of all the scores from the mean, divided

Question

Quizplus · Accepted Answer

The SS is calculated by summing the squared deviations of all the scores from their mean, and therefore is represented by option C. This formula is used to measure the variability or dispersion of a set of data from their central tendency, which is the mean. Option A only takes into account the squared value of each score, but not their deviations from the mean. Option B, on the other hand, creates a single value by summing scores and then squaring the sum, which is not the same as the SS. Option D is incomplete as it only describes the numerator of the variance formula but not the denominator, which is the number of scores minus one.

The SS, Sum of Squares, Is Equal to