|
Routine Name |
Mark of Introduction |
Purpose |
| G01AAF Example Text Example Data | 4 | Mean, variance, skewness, kurtosis, etc., one variable, from raw data |
| G01ABF Example Text Example Data | 4 | Mean, variance, skewness, kurtosis, etc., two variables, from raw data |
| G01ADF Example Text Example Data | 4 | Mean, variance, skewness, kurtosis, etc., one variable, from frequency table |
| G01AEF Example Text Example Data | 4 | Frequency table from raw data |
| G01AFF Example Text Example Data | 4 | Two-way contingency table analysis, with χ2/Fisher's exact test |
| G01AGF Example Text Example Data | 8 | Lineprinter scatterplot of two variables |
| G01AHF Example Text Example Data | 8 | Lineprinter scatterplot of one variable against Normal scores |
| G01AJF Example Text Example Data | 10 | Lineprinter histogram of one variable |
| G01ALF Example Text Example Data | 14 | Computes a five-point summary (median, hinges and extremes) |
| G01ARF Example Text Example Data | 14 | Constructs a stem and leaf plot |
| G01ASF Example Text Example Data | 14 | Constructs a box and whisker plot |
| G01BJF Example Text Example Data | 13 | Binomial distribution function |
| G01BKF Example Text Example Data | 13 | Poisson distribution function |
| G01BLF Example Text Example Data | 13 | Hypergeometric distribution function |
| G01DAF Example Text | 8 | Normal scores, accurate values |
| G01DBF Example Text | 12 | Normal scores, approximate values |
| G01DCF Example Text | 12 | Normal scores, approximate variance-covariance matrix |
| G01DDF Example Text Example Data | 12 | Shapiro and Wilk's W test for Normality |
| G01DHF Example Text Example Data | 15 | Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores |
| G01EAF Example Text Example Data | 15 | Computes probabilities for the standard Normal distribution |
| G01EBF Example Text Example Data | 14 | Computes probabilities for Student's t-distribution |
| G01ECF Example Text Example Data | 14 | Computes probabilities for χ2 distribution |
| G01EDF Example Text Example Data | 14 | Computes probabilities for F-distribution |
| G01EEF Example Text Example Data | 14 | Computes upper and lower tail probabilities and probability density function for the beta distribution |
| G01EFF Example Text Example Data | 14 | Computes probabilities for the gamma distribution |
| G01EMF Example Text Example Data | 15 | Computes probability for the Studentized range statistic |
| G01EPF Example Text Example Data | 15 | Computes bounds for the significance of a Durbin–Watson statistic |
| G01ERF Example Text Example Data | 16 | Computes probability for von Mises distribution |
| G01EYF Example Text Example Data | 14 | Computes probabilities for the one-sample Kolmogorov–Smirnov distribution |
| G01EZF Example Text Example Data | 14 | Computes probabilities for the two-sample Kolmogorov–Smirnov distribution |
| G01FAF Example Text Example Data | 15 | Computes deviates for the standard Normal distribution |
| G01FBF Example Text Example Data | 14 | Computes deviates for Student's t-distribution |
| G01FCF Example Text Example Data | 14 | Computes deviates for the χ2 distribution |
| G01FDF Example Text Example Data | 14 | Computes deviates for the F-distribution |
| G01FEF Example Text Example Data | 14 | Computes deviates for the beta distribution |
| G01FFF Example Text Example Data | 14 | Computes deviates for the gamma distribution |
| G01FMF Example Text Example Data | 15 | Computes deviates for the Studentized range statistic |
| G01GBF Example Text Example Data | 14 | Computes probabilities for the non-central Student's t-distribution |
| G01GCF Example Text Example Data | 14 | Computes probabilities for the non-central χ2 distribution |
| G01GDF Example Text Example Data | 14 | Computes probabilities for the non-central F-distribution |
| G01GEF Example Text Example Data | 14 | Computes probabilities for the non-central beta distribution |
| G01HAF Example Text Example Data | 14 | Computes probability for the bivariate Normal distribution |
| G01HBF Example Text Example Data | 15 | Computes probabilities for the multivariate Normal distribution |
| G01JCF Example Text Example Data | 14 | Computes probability for a positive linear combination of χ2 variables |
| G01JDF Example Text Example Data | 15 | Computes lower tail probability for a linear combination of (central) χ2 variables |
| G01MBF Example Text Example Data | 15 | Computes reciprocal of Mills' Ratio |
| G01NAF Example Text Example Data | 16 | Cumulants and moments of quadratic forms in Normal variables |
| G01NBF Example Text Example Data | 16 | Moments of ratios of quadratic forms in Normal variables, and related statistics |