# G01 - Simple Calculations and Statistical Data

 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

© The Numerical Algorithms Group Ltd, Oxford UK. 1999