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.

NoncentralBetaDistribution (Built-in Mathematica Symbol)

NoncentralBetaDistribution[\[Alpha], \[Beta], \[Delta]] represents a noncentral beta distribution with shape parameters \[Alpha], \[Beta] and noncentrality parameter \[Delta].

NoncentralChiSquareDistribution (Built-in Mathematica Symbol)

NoncentralChiSquareDistribution[\[Nu], \[Lambda]] represents a noncentral \[Chi]^2 distribution with \[Nu] degrees of freedom and noncentrality parameter \[Lambda].

NoncentralFRatioDistribution (Built-in Mathematica Symbol)

NoncentralFRatioDistribution[n, m, \[Lambda]] represents a noncentral F-ratio distribution with n numerator degrees of freedom, m denominator degrees of freedom, and ...

NoncentralStudentTDistribution (Built-in Mathematica Symbol)

NoncentralStudentTDistribution[\[Nu], \[Delta]] represents a noncentral Student t distribution with \[Nu] degrees of freedom and noncentrality parameter \[Delta].

Outer (Built-in Mathematica Symbol)

Outer[f, list_1, list_2, ...] gives the generalized outer product of the list_i, forming all possible combinations of the lowest-level elements in each of them, and feeding ...

OutputResponse (Built-in Mathematica Symbol)

OutputResponse[sys, u, t] gives the output response of a TransferFunctionModel or StateSpaceModel object sys to the input u as a function of time t.OutputResponse[sys, u, {t, ...

PairedTTest (Built-in Mathematica Symbol)

PairedTTest[data] tests whether the mean of data is zero. PairedTTest[{data_1, data_2}] tests whether the mean of data_1\[Dash] data_2 is zero.PairedTTest[dspec, \[Mu]_0] ...

PairedZTest (Built-in Mathematica Symbol)

PairedZTest[data] tests whether the mean of the data is zero. PairedZTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.PairedZTest[dspec, ...

ParallelCombine (Built-in Mathematica Symbol)

ParallelCombine[f, h[e_1, e_2, ...], comb] evaluates f[h[e_1, e_2, ...]] in parallel by distributing parts of the computation to all parallel kernels and combining the ...