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The term "nominal number" may be quite recent and of limited use. It appears [citation needed] to have originated in school textbooks derived from the statistical term "nominal data", defined as data indicating "...merely statements of qualitative category of membership."
Nominal techniques, computer science techniques for working with formal languages with name binding constructs Real versus nominal value , an accepted condition which is a goal or an approximation as opposed to the real value
Level of measurement or scale of measure is a classification that describes the nature of information within the values assigned to variables. [1] Psychologist Stanley Smith Stevens developed the best-known classification with four levels, or scales, of measurement: nominal, ordinal, interval, and ratio.
In manufacturing, a nominal size or trade size is a size "in name only" used for identification. [1] The nominal size may not match any dimension of the product, but within the domain of that product the nominal size may correspond to a large number of highly standardized dimensions and tolerances.
Computable number: A real number whose digits can be computed by some algorithm. Period: A number which can be computed as the integral of some algebraic function over an algebraic domain. Definable number: A real number that can be defined uniquely using a first-order formula with one free variable in the language of set theory.
The highest post-nominal number representing a member of a royal house is 75, used by Count Heinrich LXXV Reuss (r. 1800–1801). All male members of the branch were named Heinrich, and were successively numbered from I upwards, from the beginning of each century. [39]
In statistics, data can have any of various types.Statistical data types include categorical (e.g. country), directional (angles or directions, e.g. wind measurements), count (a whole number of events), or real intervals (e.g. measures of temperature).
A nominal variable, or nominal group, is a group of objects or ideas collectively grouped by a particular qualitative characteristic. [3] Nominal variables do not have a natural order, which means that statistical analyses of these variables will always produce the same results, regardless of the order in which the data is presented. [1] [3]