Jmdonev: 1 revision imported: From the summer

2016-09-17T22:29:28Z

1 revision imported: From the summer

← Older revision	Revision as of 22:29, 17 September 2016
(No difference)

Jmdonev at 20:29, 22 July 2016

2016-07-22T20:29:05Z

New page

[[Category:Done 2016-04-30]]
<onlyinclude>A '''percentile''' is a value on a scale of 100 that indicates the percentage of the data set values that is equal to or below it. The percentile is often used to estimate the extremes of a distribution.</onlyinclude><ref name=IPCC_SREX>IPCC, 2012: Glossary of terms. In: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation [Field, C.B., V. Barros, T.F. Stocker, D. Qin, D.J. Dokken, K.L. Ebi, M.D. Mastrandrea, K.J. Mach, G.-K. Plattner, S.K. Allen, M. Tignor, and P.M. Midgley (eds.)]. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC). Cambridge University Press, Cambridge, UK, and New York, NY, USA, pp. 555-564.</ref> For example, if Jill is the 4th tallest in a group of 20 people, then 80% of the group is shorter than Jill. Thus Jill is said to be in the 80th percentile.<ref name=math>Math is Fun. (Accessed May 31, 2016). ''Percentiles'' [Online], Available: https://www.mathsisfun.com/data/percentiles.html</ref>

Percentiles are often used in classifying extremes of statistics in various [[climate]] situations. For example, a daily [[temperature]] is classified as ''extreme'' when that day's high (or low) is in the 90th percentile of the same day in previous years.<ref name=IPCC_SREX/>

Values can also be separated into groups known as ''deciles'' and ''quartiles'' - deciles split the data into tens while quartiles split it into quarters. From the earlier example, Jill would be in the upper quartile as she is taller than over 75% of the other people, and would be in the 8th decile.<ref name=math/>

==References==
{{reflist}}

Percentile - Revision history

Jmdonev: 1 revision imported: From the summer

Jmdonev at 20:29, 22 July 2016