| G01AHF | Lineprinter scatterplot of one variable against Normal scores |
| G01DAF | Normal scores, accurate values |
| G01DBF | Normal scores, approximate values |
| G01DCF | Normal scores, approximate variance-covariance matrix |
| G01DHF | Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores |
| G01EAF | Computes probabilities for the standard Normal distribution |
| G01FAF | Computes deviates for the standard Normal distribution |
| G01HAF | Computes probability for the bivariate Normal distribution |
| G01HBF | Computes probabilities for the multivariate Normal distribution |
| G01KAF | Calculates the value for the probability density function of the Normal distribution at a chosen point |
| G01NAF | Cumulants and moments of quadratic forms in Normal variables |
| G01NBF | Moments of ratios of quadratic forms in Normal variables, and related statistics |
| G02GAF | Fits a generalized linear model with Normal errors |
| G05RZF | Generates a matrix of pseudorandom numbers from a multivariate Normal distribution |
| G05SKF | Generates a vector of pseudorandom numbers from a Normal distribution |
| G05YJF | Generates a Normal quasi-random number sequence |
| G07BBF | Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data |
| G07CAF | Computes t-test statistic for a difference in means between two Normal populations, confidence interval |
| S15ABF | Cumulative Normal distribution function P(x) |
| S15ACF | Complement of cumulative Normal distribution function Q(x) |