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The concept makes sense only for the central momentums of higher oder than 

LaTeX Math Inline
bodyn \geq 3
, since lower order central momentums  
LaTeX Math Inline
body\bar \mu_0 \equiv 1/\sigma
,
LaTeX Math Inline
body\bar \mu_1 \equiv 0
,
LaTeX Math Inline
body\bar \mu_2 \equiv 1
 are trivial and do not carry additional information on dataset distribution.

The most popular application is the 3-rd order The third order normalized central momentum is characterizing asymmetry of the variance 

LaTeX Math Inline
body--uriencoded--\mu_3 = \bar \mu_3 \cdot \sigma%5e3
, where 
LaTeX Math Inline
body\bar \mu_3
 is skewnesswhich is called skewness and characterizes asymmetry of the dataset distribution.


See also

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Formal science / Mathematics / Statistics / Statistical Metric 

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