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CDF

CDF(distribution, value)

returns the cumulative distribution function of value.

PDF(distribution, {list} )

returns the cumulative distribution function of the values of list.

See:

CDF can be applied to the following distributions:

BernoulliDistribution, BinomialDistribution, DiscreteUniformDistribution, ErlangDistribution, ExponentialDistribution, FrechetDistribution, GammaDistribution, GeometricDistribution, GumbelDistribution, HypergeometricDistribution, LogNormalDistribution, NakagamiDistribution, NormalDistribution, PoissonDistribution, StudentTDistribution, WeibullDistribution

Examples

>> CDF(NormalDistribution(),-0.41)
0.3409


>> Table(CDF(NormalDistribution(0, s), x), {s, {.75, 1, 2}}, {x, -6,6}) // N
{{0.0,0.0,0.0,0.00003,0.00383,0.09121,0.5,0.90879,0.99617,0.99997,1.0,1.0,1.0},{0.0,0.0,0.00003,0.00135,0.02275,0.15866,0.5,0.84134,0.97725,0.99865,0.99997,1.0,1.0},{0.00135,0.00621,0.02275,0.06681,0.15866,0.30854,0.5,0.69146,0.84134,0.93319,0.97725,0.99379,0.99865}}

InverseCDF, PDF

Implementation status

  • ✅ - full supported

Github