| Chapter Introduction | |
| G01AAF | Mean, variance, skewness, kurtosis, etc, one variable, from raw data |
| G01ABF | Mean, variance, skewness, kurtosis, etc, two variables, from raw data |
| G01ADF | Mean, variance, skewness, kurtosis, etc, one variable, from frequency table |
| G01AEF | Frequency table from raw data |
| G01AFF | Two-way contingency table analysis, with chi-square/Fisher's exact test |
| G01AGF | Lineprinter scatterplot of two variables |
| G01AHF | Lineprinter scatterplot of one variable against Normal scores |
| G01AJF | Lineprinter histogram of one variable |
| G01ALF | Computes a five-point summary (median, hinges and extremes) |
| G01ARF | Constructs a stem and leaf plot |
| G01ASF | Constructs a box and whisker plot |
| G01BJF | Binomial distribution function |
| G01BKF | Poisson distribution function |
| G01BLF | Hypergeometric distribution function |
| G01DAF | Normal scores, accurate values |
| G01DBF | Normal scores, approximate values |
| G01DCF | Normal scores, approximate variance-covariance matrix |
| G01DDF | Shapiro and Wilk's W test for Normality |
| G01DHF | Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores |
| G01EAF | Computes probabilities for the standard Normal distribution |
| G01EBF | Computes probabilities for Student's t-distribution |
| G01ECF | Computes probabilities for chi-square distribution |
| G01EDF | Computes probabilities for F-distribution |
| G01EEF | Computes upper and lower tail probabilities and probability density function for the beta distribution |
| G01EFF | Computes probabilities for the gamma distribution |
| G01EMF | Computes probability for the Studentized range statistic |
| G01EPF | Computes bounds for the significance of a Durbin--Watson statistic |
| 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 |
| G01FBF | Computes deviates for Student's t-distribution |
| G01FCF | Computes deviates for the chi-square distribution |
| G01FDF | Computes deviates for the F-distribution |
| G01FEF | Computes deviates for the beta distribution |
| G01FFF | Computes deviates for the gamma distribution |
| G01FMF | Computes deviates for the Studentized range statistic |
| G01GBF | Computes probabilities for the non-central Student's t-distribution |
| G01GCF | Computes probabilities for the non-central chi-square distribution |
| G01GDF | Computes probabilities for the non-central F-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 |
| G01JCF | Computes probability for a positive linear combination of chi-square variables |
| G01JDF | Computes lower tail probability for a linear combination of (central) chi-square variables |
| G01MBF | Computes reciprocal of Mills' Ratio |
| G01NAF | Cumulants and moments of quadratic forms in Normal variables |
| G01NBF | Moments of ratios of quadratic forms in Normal variables, and related statistics |