| G01BJF | Binomial distribution function |
| G01BKF | Poisson distribution function |
| G01BLF | Hypergeometric distribution function |
| G01EAF | Computes probabilities for the standard Normal distribution |
| G01ECF | Computes probabilities for χ2 distribution |
| G01EEF | Computes upper and lower tail probabilities and probability density function for the beta distribution |
| G01EFF | Computes probabilities for the gamma distribution |
| G01ERF | Computes probability for von Mises distribution |
| G01EYF | Computes probabilities for the one-sample Kolmogorov–Smirnov distribution |
| G01EZF | Computes probabilities for the two-sample Kolmogorov–Smirnov distribution |
| G01FAF | Computes deviates for the standard Normal distribution |
| G01FCF | Computes deviates for the χ2 distribution |
| G01FEF | Computes deviates for the beta distribution |
| G01FFF | Computes deviates for the gamma distribution |
| G01GCF | Computes probabilities for the non-central χ2 distribution |
| G01GEF | Computes probabilities for the non-central beta distribution |
| G01HAF | Computes probability for the bivariate Normal distribution |
| G01HBF | Computes probabilities for the multivariate Normal distribution |
| G05KAF | Pseudo-random real numbers, uniform distribution over (0,1), seeds and generator number passed explicitly |
| G05LAF | Generates a vector of random numbers from a Normal distribution, seeds and generator number passed explicitly |
| G05LCF | Generates a vector of random numbers from a χ2 distribution, seeds and generator number passed explicitly |
| G05LEF | Generates a vector of random numbers from a beta distribution, seeds and generator number passed explicitly |
| G05LFF | Generates a vector of random numbers from a γ distribution, seeds and generator number passed explicitly |
| G05LGF | Generates a vector of random numbers from a uniform distribution, seeds and generator number passed explicitly |
| G05LHF | Generates a vector of random numbers from a triangular distribution, seeds and generator number passed explicitly |
| G05LJF | Generates a vector of random numbers from an exponential distribution, seeds and generator number passed explicitly |
| G05LKF | Generates a vector of random numbers from a lognormal distribution, seeds and generator number passed explicitly |
| G05LLF | Generates a vector of random numbers from a Cauchy distribution, seeds and generator number passed explicitly |
| G05LMF | Generates a vector of random numbers from a Weibull distribution, seeds and generator number passed explicitly |
| G05LNF | Generates a vector of random numbers from a logistic distribution, seeds and generator number passed explicitly |
| G05LPF | Generates a vector of random numbers from a Von Mises distribution, seeds and generator number passed explicitly |
| G05LQF | Generates a vector of random numbers from an exponential mixture distribution, seeds and generator number passed explicitly |
| G05LZF | Generates a vector of random numbers from a multivariate Normal distribution, seeds and generator number passed explicitly |
| G05MAF | Generates a vector of random integers from a uniform distribution, seeds and generator number passed explicitly |
| G05MBF | Generates a vector of random integers from a geometric distribution, seeds and generator number passed explicitly |
| G05MCF | Generates a vector of random integers from a negative binomial distribution, seeds and generator number passed explicitly |
| G05MDF | Generates a vector of random integers from a logarithmic distribution, seeds and generator number passed explicitly |
| G05MEF | Generates a vector of random integers from a Poisson distribution with varying mean, seeds and generator number passed explicitly |
| G05MJF | Generates a vector of random integers from a binomial distribution, seeds and generator number passed explicitly |
| G05MKF | Generates a vector of random integers from a Poisson distribution, seeds and generator number passed explicitly |
| G05MLF | Generates a vector of random integers from a hypergeometric distribution, seeds and generator number passed explicitly |
| G05MRF | Generates a vector of random integers from a multinomial distribution, seeds and generator number passed explicitly |
| G05MZF | Generates a vector of random integers from a general discrete distribution, seeds and generator number passed explicitly |
| G05YAF | Multi-dimensional quasi-random number generator with a uniform probability distribution |
| G05YBF | Multi-dimensional quasi-random number generator with a Gaussian or log-normal probability distribution |
| G07AAF | Computes confidence interval for the parameter of a binomial distribution |
| G07ABF | Computes confidence interval for the parameter of a Poisson distribution |
| G07BBF | Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data |
| G07BEF | Computes maximum likelihood estimates for parameters of the Weibull distribution |
| G08CCF | Performs the one-sample Kolmogorov–Smirnov test for a user-supplied distribution |
| S15ABF | Cumulative Normal distribution function P(x) |
| S15ACF | Complement of cumulative Normal distribution function Q(x) |