128,633
edits
(Created page with "== Definition and Overview == In probability theory and statistics, the '''central moment''' is a measure of the shape of a probability distribution. It is a specific type of moment, which is a quantitative measure of the shape of a function. Central moments are particularly useful because they provide information about the variability and symmetry of a distribution around its mean. The central moment of order \( k \) for a random variable \( X \) with mean \( \mu...") |
No edit summary |
||
Line 112: | Line 112: | ||
* [[Variance]] | * [[Variance]] | ||
[[Image:Detail-97439.jpg|thumb|center|A visually appealing image of a bell-shaped curve representing a normal distribution.|class=only_on_mobile]] | |||
[[Image:Detail-97440.jpg|thumb|center|A visually appealing image of a bell-shaped curve representing a normal distribution.|class=only_on_desktop]] | |||
== References == | == References == |