Four separate approaches to the problem of assessing variation in categorical data are developed, each of which results in an identical index of dispersion (D). An unbiased sample estimator of D is pre sented, which bears an analogy with the common unbiased sample estimator of variance for quantitative data. An additional index, re lated to a measure of entropy for categorical data, is mentioned and some applications are discussed.
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