Dispersi statistik: Béda antarrépisi

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Ukuran '''dispersi statistik''' kudu ngahasilkeun angka nol lamun sakabeh data identik, sarta kudu naek lamun data leuwih bareda. Ukuran dispersi pangpentingna nyaeta [[simpangan baku]], akar kuadrat [[varian]].
A measure of '''statistical dispersion''' must yield a number that is zero if all the data are identical, and must increase as the data are more diverse. A very important measure of dispersion is the [[standard deviation]], the square root of the [[variance]].
 
OtherUkuran suchsejenna measures include thekaasup [[range (statistics)| rangerentang]], the [[interquartile range]], and thesarta [[absolute deviation|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 ''S<sub>X</sub>'' then a [[linear transformation]] ''Y''&nbsp;=&nbsp;''aX''&nbsp;+&nbsp;''b'' for [[real number|real]] ''a'' and ''b'' should have dispersion ''S<sub>Y</sub>''&nbsp;=&nbsp;''aS<sub>X</sub>''.
 
SeeTempo alsooge [[summarykasimpulan statisticsstatistik]].