| g01dac | Normal scores, accurate values |
| g01dcc | Normal scores, approximate variance-covariance matrix |
| g01dhc | Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores |
| g01eac | Probabilities for the standard Normal distribution |
| g01fac | Deviates for the Normal distribution |
| g01hac | Probability for the bivariate Normal distribution |
| g01hbc | Computes probabilities for the multivariate Normal distribution |
| g01kac | Calculates the value for the probability density function of the Normal distribution at a chosen point |
| g01kqc | Calculates a vector of values for the probability density function of the Normal distribution at chosen points |
| g01nac | Cumulants and moments of quadratic forms in Normal variables |
| g01nbc | Moments of ratios of quadratic forms in Normal variables, and related statistics |
| g01sac | Computes a vector of probabilities for the standard Normal distribution |
| g01tac | Computes a vector of deviates for the standard Normal distribution |
| g02gac | Fits a generalized linear model with Normal errors |
| g05rzc | Generates a matrix of pseudorandom numbers from a multivariate Normal distribution |
| g05skc | Generates a vector of pseudorandom numbers from a Normal distribution |
| g05yjc | Generates a Normal quasi-random number sequence |
| g07bbc | Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data |
| g07cac | Computes t-test statistic for a difference in means between two Normal populations, confidence interval |
| s15abc | Cumulative Normal distribution function P(x) |
| s15acc | Complement of cumulative Normal distribution function Q(x) |