After calculating the deviation scores, why do we square them before adding them? We do this because _____
a. the book says to do it because it's a convention
b. we need to be able to show the results on a graph
c. it's the way we correct for sampling error
d. the deviations sum to zero if we don't square them
D
The unsquared deviations sum to zero. If we want to get the average, we need to add the scores, but if they sum to zero, we can't divide them by the number of scores that were added. Therefore, we square the scores before adding them.
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