A deviation score is more informative than a raw score because it
A)describes the shape of the distribution.
B)has a greater numeric value.
C)is a transformation of the raw score.
D)indicates both the score's distance and direction from the mean.

Question

Quizplus · Accepted Answer

A deviation score is calculated by subtracting the mean from a raw score, which gives us the distance of the score from the mean. But it also shows us the direction of the score, whether it is above or below the mean, which is important in understanding the score in context. In contrast, a raw score gives us no information about the score's relationship to the mean, and a greater numeric value does not necessarily make it more informative. The shape of the distribution can be described using other statistics, such as skewness and kurtosis.

A Deviation Score Is More Informative Than a Raw Score