When describing a distribution of scores, one should use at least three indices: the shape of the distribution (e.g., unimodal, normal, and skewed), a measure of central tendency (e.g., mean and median), and a measure of the spread of scores. The variance is an example of the latter measure. The importance of a measure for the spread of scores can be seen in the following example:[Page 1607]
- Distribution X: 93 95 97 99 100 101 103 105 107
- Distribution Y: 75 80 90 95 100 105 110 120 125
Both distributions have the same mean ( = = 100), but the scores in distribution X cluster closer to the mean than those in distribution Y.
Several measures can be used to describe the spread of scores. The range ...
Looks like you do not have access to this content.