| 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 χ2/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 χ2 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 χ2 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 χ2 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 χ2 variables
|
| G01JDF
|
Computes lower tail probability for a linear combination of (central) χ2 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 |
