One problem with the sum of squares as an index of variability is that its size depends not only on the amount of _____ among the scores,but also on the _____ of scores.
A)variability;number
B)skewness;kurtosis
C)error;number
D)none of these

Question

Quizplus · Accepted Answer

The sum of squares is affected by both the amount of variability (spread) among the scores and the number of scores, as it adds up the squared deviations from the mean. Therefore, a larger sample size will result in a larger sum of squares, even if the variability is the same. This problem can be addressed by dividing the sum of squares by the degrees of freedom to obtain the mean square, which is a more meaningful index of variability.

One Problem with the Sum of Squares as an Index