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?

Question

Quizplus · Accepted Answer

Mean is a measure of central tendency and not a measure of variability. Standard deviation, range, and variance are all measures of variability.

Measures of Variability Are Important for Quantitative Analysis Because the Measures