Dispersion Measures

Explore the variability (scatter or spread) of the values in your sample data.

Dispersion measures in NumXL

A measure of statistical dispersion is a non-negative real number that is zero, only if all the data are the same, and it increases as the data become more diverse.  NumXL implements scores of dispersion measures: scaled measures or factors, and relative (or dimensionless) dispersion measures.

Examples of scaled dispersion include variance, Mean Absolute Difference (MAD), Mean Difference (MD), and more, and examples of relative dispersion measure would be Gini Coefficient, Relative Mean Difference (RMD), and more.

Dispersion Measures Examples

Dispersion Measures Function

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