Abstract
Mutability is the aptitude of a qualitative variable to assume different categories [3]. With numerical variables, dispersion and heterogeneity of values, that is variability, may be measured by means of range, interquartile range, variance, standard deviation, coefficient of variation, mean absolute deviation, and several other indexes. With categorical data, in particular with nominal variables, the concept of mutability takes the place of that of variability. Mutability may be measured by other indexes mainly based on the observed frequencies: index of Gini [3], entropy of Shannon [6], family of indexes proposed by Rényi [5], and many others.
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References
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Bonnini, S. (2014). Combined Tests for Comparing Mutabilities of Two Populations. In: Melas, V., Mignani, S., Monari, P., Salmaso, L. (eds) Topics in Statistical Simulation. Springer Proceedings in Mathematics & Statistics, vol 114. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2104-1_7
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DOI: https://doi.org/10.1007/978-1-4939-2104-1_7
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