Question

A researcher wants to calculate the average variability from the mean of the scores in their normally-distributed data set. For each participant, they calculate a deviation score. The researcher then sums all the deviation scores together and is surprised to find that the average deviation from the mean in the group is zero. Which of the statements below is FALSE about this scenario?

A. Deviation scores can be used to calculate sum of squares, variability, and then standard deviation.
B. Approximately the deviation scores will be positive and half will be negative.
C. Deviation scores are calculated by subtracting the participant score from the mean.
D. Average deviation from the mean in the group must be squared to be meaningful.

Answer 1

D. Average deviation from the mean in the group must be squared to be meaningful.

Explanation:

The average variability from mean is not calculated with mean square of the selected group. The deviation scores calculated by subtracting participant score from the mean.