G01 Chapter Contents

G01 Introduction

g01aa – Mean, variance, skewness, kurtosis, etc., one variable, from raw data

g01ab – Mean, variance, skewness, kurtosis, etc., two variables, from raw data

g01ad – Mean, variance, skewness, kurtosis, etc., one variable, from frequency table

g01ae – Frequency table from raw data

g01af – Two-way contingency table analysis, with chi ^2/Fisher's exact test

g01ag – Lineprinter scatterplot of two variables

g01ah – Lineprinter scatterplot of one variable against Normal scores

g01aj – Lineprinter histogram of one variable

g01al – Computes a five-point summary (median, hinges and extremes)

g01ar – Constructs a stem and leaf plot

g01as – Constructs a box and whisker plot

g01bj – Binomial distribution function

g01bk – Poisson distribution function

g01bl – Hypergeometric distribution function

g01da – Normal scores, accurate values

g01db – Normal scores, approximate values

g01dc – Normal scores, approximate variance-covariance matrix

g01dd – Shapiro and Wilk's W test for Normality

g01dh – Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores

g01ea – Computes probabilities for the standard Normal distribution

g01eb – Computes probabilities for Student's t-distribution

g01ec – Computes probabilities for chi ^2 distribution

g01ed – Computes probabilities for F-distribution

g01ee – Computes upper and lower tail probabilities and probability density function for the beta distribution

g01ef – Computes probabilities for the gamma distribution

g01em – Computes probability for the Studentized range statistic

g01ep – Computes bounds for the significance of a Durbin–Watson statistic

g01er – Computes probability for von Mises distribution

g01et – Landau distribution function Phi ( lambda )

g01eu – Vavilov distribution function Phi _V( lambda ; kappa beta ^2)

g01ey – Computes probabilities for the one-sample Kolmogorov–Smirnov distribution

g01ez – Computes probabilities for the two-sample Kolmogorov–Smirnov distribution

g01fa – Computes deviates for the standard Normal distribution

g01fb – Computes deviates for Student's t-distribution

g01fc – Computes deviates for the chi ^2 distribution

g01fd – Computes deviates for the F-distribution

g01fe – Computes deviates for the beta distribution

g01ff – Computes deviates for the gamma distribution

g01fm – Computes deviates for the Studentized range statistic

g01ft – Landau inverse function Psi (x)

g01gb – Computes probabilities for the non-central Student's t-distribution

g01gc – Computes probabilities for the non-central chi ^2 distribution

g01gd – Computes probabilities for the non-central F-distribution

g01ge – Computes probabilities for the non-central beta distribution

g01ha – Computes probability for the bivariate Normal distribution

g01hb – Computes probabilities for the multivariate Normal distribution

g01jc – Computes probability for a positive linear combination of chi ^2 variables

g01jd – Computes lower tail probability for a linear combination of (central) chi ^2 variables

g01mb – Computes reciprocal of Mills' Ratio

g01mt – Landau density function phi ( lambda )

g01mu – Vavilov density function phi _V( lambda ; kappa beta ^2)

g01na – Cumulants and moments of quadratic forms in Normal variables

g01nb – Moments of ratios of quadratic forms in Normal variables, and related statistics

g01pt – Landau first moment function Phi _1(x)

g01qt – Landau second moment function Phi _2(x)

g01rt – Landau derivative function phi '( lambda )

g01zu – Initialization routine for g01mu and g01eu