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[[Image:Foldedcumulativedistributionfunction.svgthumbrightExample of the folded cumulative distribution for a [[normal distribution]] function with an [[expected value]] of 0 and a [[standard deviation]] of 1.]]
While the plot of a cumulative distribution often has an Slike shape, an alternative illustration is the '''folded cumulative distribution''' or '''mountain plot''', which folds the top half of the graph over,<ref name="Gentle">{{cite book author = Gentle, J.E. title = Computational Statistics url = https://books.google.com/?id=m4rKVxpLsAC&pg=PA348 accessdate = 20100806 year = 2009 publisher = [[Springer Science+Business MediaSpringer]] isbn = 9780387981451 }}{{Page neededdate=June 2011}}</ref><ref name="Monti">
{{cite journalauthor=Monti, K.L.pages=342–345year=1995title=Folded Empirical Distribution Function Curves (Mountain Plots) journal=The American Statisticianvolume=49issue=4jstor=2684570doi=10.2307/2684570}}</ref>
thus using two scales, one for the upslope and another for the downslope. This form of illustration emphasises the [[median (statistics)median]] and [[dispersion (statistics)dispersion]] (specifically, the [[mean absolute deviation]] from the median<ref>{{Cite journal
 last1 = Xue  first1 = J. H.
 volume = 81  issue = 8  pages = 1179–1182
 year = 2011
 pmid =  pmc =  url = https://hal.archivesouvertes.fr/hal00753950/file/PEER_stage2_10.1016%252Fj.spl.2011.03.014.pdf
===Inverse distribution function (quantile function)===
