NormalDistribution[\[Mu], \[Sigma]] represents a normal (Gaussian) distribution with mean \[Mu] and standard deviation \[Sigma]. NormalDistribution[] represents a normal ...

Distributions defined in this package have been added to the built-in Mathematica kernel. Random and RandomArray are replaced by RandomReal.

PairedSmoothHistogram[{x_1, x_2, ...}, {y_1, y_2, ...}] plots a paired smooth histogram of the values x_i and y_i. PairedSmoothHistogram[{x_1, x_2, ...}, {y_1, y_2, ...}, ...

PearsonChiSquareTest[data] tests whether data is normally distributed using the Pearson \[Chi]^2 test. PearsonChiSquareTest[data, dist] tests whether data is distributed ...

KolmogorovSmirnovTest[data] tests whether data is normally distributed using the Kolmogorov\[Dash]Smirnov test. KolmogorovSmirnovTest[data, dist] tests whether data is ...

SmoothHistogram[{x_1, x_2, ...}] plots a smooth kernel histogram of the values x_i. SmoothHistogram[{x_1, x_2, ...}, espec] plots a smooth kernel histogram with estimator ...

AndersonDarlingTest[data] tests whether data is normally distributed using the Anderson\[Dash]Darling test. AndersonDarlingTest[data, dist] tests whether data is distributed ...

CramerVonMisesTest[data] tests whether data is normally distributed using the Cramér\[Dash]von Mises test. CramerVonMisesTest[data, dist] tests whether data is distributed ...

WatsonUSquareTest[data] tests whether data is normally distributed using the Watson U^2 test. WatsonUSquareTest[data, dist] tests whether data is distributed according to ...

MixtureDistribution[{w_1, ..., w_n}, {dist_1, ..., dist_n}] represents a mixture distribution whose CDF is given as a sum of the CDFs of the component distributions dist_i, ...