Measures of Variability Are Important for Quantitative Analysis Because the Measures

Multiple Choice

Measures of variability are important for quantitative analysis because the measures determine the extent to which scores of a value vary or disperse from measures of central tendency. For instance, a group program recepients may take a test and the scores may be 75, 82, 84, 88, and 93. Thus the range in scores is from 75 to 93, which places the mean score at 84.4%. Which statistic is not a measure of variability?

A) Standard deviation
B) Range
C) Variance
D) Mean