An important numerical measure of the shape of a distribution is the
A) variance.
B) z-score.
C) coefficient of variation.
D) skewness.

Question

​An important numerical measure of the shape of a distribution is the
A) ​variance.
B) ​z-score.
C) ​coefficient of variation.
D) ​skewness.

Quizplus · Accepted Answer

Skewness is a numerical measure that describes the degree of asymmetry of a distribution. It is particularly useful in assessing the normality of a distribution. Variance measures the spread of a distribution, z-score is a standardization measure, and coefficient of variation measures the ratio of the standard deviation to the mean. While each of these measures can be useful in their own way, skewness is the best choice for assessing the shape of a distribution.

​An Important Numerical Measure of the Shape of a Distribution

An Important Numerical Measure of the Shape of a Distribution