In descriptive statistics, statistical dispersion (also called statistical variability) is quantifiable variation of measurements of differing members of a population within the scale on which they are measured.
Other such measures include the range, the interquartile range, the mean difference, and the average absolute deviation, and, in the case of categorical random variables, the discrete entropy. None of these can be negative; their least possible value is zero.
A measure of statistical dispersion is particularly useful if it is location-invariant, and linear in scale. So if a random variable X has a dispersion of SX then a linear transformation Y = aX + b for real a and b should have dispersion SY = |a|SX. One of the forms in which statistical variability is realized in the empirical sciences is that of differences in repeated measurements of the same quantity.
In the biological sciences, this assumption is false: the variation observed might be intrinsic to the phenomenon: distinct members of a population differ greatly. This is also seen in the arena of manufactured products; even there, the meticulous scientist finds idiosyncrasy of sampled items.
The simple model of a stable quantity is preferred when it is tenable. Each phenomenon must be examined to see if it warrants such a simplification.
See also summary statistics. Statistics
Streuung (Statistik) | Critères de dispersion | Spridningsmått
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