Measures of dispersion

The information provided by the central tendency measures is not sufficient to characterize distribution. We need to integrate this information with other things that take into account the degree of dispersion of the data or variability of them. So, for example, if there are students with different heights in a class, it is said that there is variability in that class. If the heights of the students were all the same, one would say that there is no variability.

Variability can be measured with different types of indicators; MATLAB has special functions to calculate each of these. A first way to express the variability of a distribution is to refer to the range of a distribution (the minimum value and the maximum value). ...

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