Cumulative Distribution Functions (CDF)

Name	Brief	Example
Betacdf	Computes beta cumulative distribution function at $x$ , with parameters $a$ and $b$ .
Binocdf	Computes the lower tail, upper tail and point probabilities in given value $k$ , associated with a Binomial distribution using the corresponding parameters in $n$ , $p$ .
Bivarnormcdf	Computes the lower tail probability for the bivariate Normal distribution.
Chi2cdf	Computes the lower tail probability for the $\chi^2$ distribution with real degrees of freedom.
Cumul normal	Evaluates the cumulative Normal distribution function $P(x)=\frac 1{\sqrt{2\pi }}\int_{-\infty }^xe^{\frac{-u^2}2}du$ .
Cumul normal complem	Evaluates an approximate value for the complement of the cumulative normal distribution function.
Erf	The error function (or normal error integral).
Erfc	The approximate value for the complement of the error function.
Erfcinv	Return value of the inverse of the complementary error function for specified y.
Erfinv	Return value of the inverse error function for specified y.
Fcdf	Computes $F$ cumulative distribution function at $x$ , with parameters $a$ and $b$ , and lower tail.
Foldnormcdf	Computes the lower tail probability for the Folded Normal distribution.
Gamcdf	Computes the lower tail probability for the gamma distribution with real degrees of freedom, with parameters $\alpha$ and $\beta$ .
Hygecdf	Computes the lower tail probabilities in given value , associated with a hypergeometric distribution using the corresponding parameters in ,nand .
Landaucdf	Computes the cumulative density for the Landau distribution at x and with location parameter mu and scale parameter sigma.
Logncdf	Computes the lower tail probability for the Lognormal cumulative distribution with parameters $\mu$ and $\sigma$ .
Ncbetacdf	Computes the cdf with the lower tail of the non-central beta distribution.
Ncchi2cdf	Computes the probability associated with the lower tail of the non-central $\chi^2$ distribution.
Ncfcdf	Computes the probability associated with the lower tail of the non-central $\digamma$ or variance-ratio distribution.
Nctcdf	Computes the lower tail probability for the non-central Student's t-distribution.
Normcdf	Computes the lower tail probability for the normal cumulative distribution.
Poisscdf	Computes the lower tail probabilities in given value $k$ , associated with a Poisson distribution using the corresponding parameters in $\lambda$ .
Prob	Computes the Probability Density (for a normal distribution) integrated from -x to +x.
Srangecdf	Computes the probability associated with the lower tail of the distribution of the Studentized range statistic.
Tcdf	Computes the cumulative distribution function of Student's t-distribution.
Wblcdf	computes the low tail Weibull cumulative distribution function for value X using the parameters A and B.