MardiaSkewnessTest[data] tests whether data follows a MultinormalDistribution using the Mardia skewness test.MardiaSkewnessTest[data, " property"] returns the value of " ...
NExpectation[expr, x \[Distributed] dist] gives the numerical expectation of expr under the assumption that x follows the probability distribution dist.NExpectation[expr, ...
MomentEvaluate[mexpr, dist] evaluates formal moments in the moment expression mexpr on the distribution dist.MomentEvaluate[mexpr, list] evaluates formal moments and formal ...
StringSplit["string"] splits " string" into a list of substrings separated by whitespace. StringSplit["string", patt] splits into substrings separated by delimiters matching ...
Exp
(Built-in Mathematica Symbol) Exp[z] gives the exponential of z.
KolmogorovSmirnovTest[data] tests whether data is normally distributed using the Kolmogorov\[Dash]Smirnov test.KolmogorovSmirnovTest[data, dist] tests whether data is ...
VarianceEquivalenceTest[{data_1, data_2, ...}] tests whether the variances of the data_i are equal. VarianceEquivalenceTest[{data_1, ...}, " property"] returns the value of " ...
DensityHistogram[{{x_1, y_1}, {x_2, y_2}, ...}] plots a density histogram of the values {x_i, y_i}.DensityHistogram[{{x_1, y_1}, {x_2, y_2}, ...}, bspec] plots a density ...
FactorialMoment[list, r] gives the r\[Null]^th moment of the elements in the list.FactorialMoment[dist, r] gives the r\[Null]^th moment of the symbolic distribution ...
The ability to generate pseudorandom numbers is important for simulating events, estimating probabilities and other quantities, making randomized assignments or selections, ...