N
(Built-in Mathematica Symbol) N[expr] gives the numerical value of expr. N[expr, n] attempts to give a result with n-digit precision.
NominalVariables is an option for fitting functions such as LinearModelFit that specifies which variables should be treated as having discrete values specified by names.
NoncentralBetaDistribution[\[Alpha], \[Beta], \[Delta]] represents a noncentral beta distribution with shape parameters \[Alpha], \[Beta] and noncentrality parameter \[Delta].
NoncentralChiSquareDistribution[\[Nu], \[Lambda]] represents a noncentral \[Chi]^2 distribution with \[Nu] degrees of freedom and noncentrality parameter \[Lambda].
NoncentralFRatioDistribution[n, m, \[Lambda]] represents a noncentral F-ratio distribution with n numerator degrees of freedom, m denominator degrees of freedom, and ...
NoncentralStudentTDistribution[\[Nu], \[Delta]] represents a noncentral Student t distribution with \[Nu] degrees of freedom and noncentrality parameter \[Delta].
a ** b ** c is a general associative, but non-commutative, form of multiplication.
NonConstants is an option for D which gives a list of objects to be taken to depend implicitly on the differentiation variables.
None
(Built-in Mathematica Symbol) None is a setting used for certain options.
NonlinearModelFit[{y_1, y_2, ...}, form, {\[Beta]_1, ...}, x] constructs a nonlinear model with structure form that fits the y_i for successive x values 1, 2, ... using the ...