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==Origin==
[http://nordan.daynal.org/wiki/index.php?title=English#ca._1100-1500_.09THE_MIDDLE_ENGLISH_PERIOD Middle English] subordinat, from Medieval Latin subordinatus, past participle of subordinare to subordinate, from [[Latin]] sub- + ordinare to [[order]] — more at [[ordain]]
*[http://en.wikipedia.org/wiki/15th_century 15th Century]
==Definitions==
:''Adjective''
*1: placed in or occupying a lower [[class]], rank, or position : inferior <a subordinate officer>
*2: submissive to or controlled by authority
*3 : of, relating to, or constituting a clause that [[functions]] as a noun, adjective, or adverb

:''Noun''
*1: one who stands in [[order]] or rank below another : one that is subordinate

:''Transitive verb''
*1: to make subject or subservient
*2: to treat as of less [[value]] or importance <stylist … whose crystalline [[prose]] subordinates [[content]] to [[form]]
==Description (Ranking)==
A '''ranking''' is a [[relationship]] between a set of items such that, for any two items, the first is either 'ranked higher than', 'ranked lower than' or 'ranked equal to' the second. In [[mathematics]], this is known as a [http://en.wikipedia.org/wiki/Strict_weak_ordering#Total_preorders weak order or total preorder] of objects. It is not necessarily a total order of objects because two [[different]] objects can have the same ranking. The rankings themselves are totally ordered. For example, [[materials]] are totally preordered by [http://en.wikipedia.org/wiki/Hardness_(materials_science) hardness], while [[degrees]] of hardness are totally ordered.

By reducing detailed [[measures]] to a [[sequence]] of [http://en.wikipedia.org/wiki/Ordinal_numbers ordinal numbers], rankings make it possible to [[evaluate]] [[complex]] [[information]] according to certain criteria. Thus, for example, an Internet search engine may rank the pages it finds according to an estimation of their [http://en.wikipedia.org/wiki/Relevance relevance], making it possible for the user quickly to select the pages they are likely to want to see.

[[Analysis]] of [[data]] obtained by ranking commonly requires [http://en.wikipedia.org/wiki/Non-parametric_statistics non-parametric statistics].[http://en.wikipedia.org/wiki/Ranking]

[[Category: General Reference]]

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