Editing Summary statistics (section)

==Examples==

===Location===

Common measures of location, or [[central tendency]], are the [[arithmetic mean]], [[median]], [[mode (statistics)|mode]], and [[interquartile mean]].<ref>{{cite book | last1 = Bullen | first1 = P. S. | date = 2003-08-31 | chapter =  | chapter-url =  | chapter-url-access =  | title = Handbook of Means and Their Inequalities | url =  | url-status =  | url-access =  | format =  | type =  | series = Mathematics and Its Applications | language = en | volume = 560 | edition = 2 | publisher = [[Springer Science+Business Media|Springer Dordrecht]] | doi = 10.1007/978-94-017-0399-4 | isbn = 978-1-4020-1522-9 | lccn = 2003060794 | oclc = 939214285 | ol = OL8370727M | quote =  | quote-page =  | quote-pages =  | df = dmy-all }}</ref><ref>{{cite book | last1=Grabisch | first1=Michel | last2 = Marichal | first2=Jean-Luc | last3=Mesiar | first3=Radko  | last4=Pap | first4=Endre |date=2009 |title=Aggregation Functions |publisher=Oxford University Press | isbn = 978-0521519267 }}</ref>

===Spread===
Common measures of [[statistical dispersion]] are the [[standard deviation]], [[variance]], [[range (statistics)|range]],  [[interquartile range]], [[absolute deviation]], [[mean absolute difference]] and the [[distance standard deviation]]. Measures that assess spread in comparison to the typical size of data values include the [[coefficient of variation]].

The [[Gini coefficient]] was originally developed to measure income inequality and is equivalent to one of the [[L-moment]]s.

A simple summary of a dataset is sometimes given by quoting particular [[order statistics]] as approximations to selected [[percentiles]] of a distribution.

===Shape===

Common measures of the shape of a distribution are [[skewness]] or [[kurtosis]], while alternatives can be based on [[L-moment]]s. A different measure is the [[Skewness#Distance skewness|distance skewness]], for which a value of zero implies central symmetry.

===Dependence===

The common measure of dependence between paired random variables is the [[Pearson product-moment correlation coefficient]], while a common alternative summary statistic is [[Spearman's rank correlation coefficient]]. A value of zero for the [[distance correlation]] implies independence.