## G01 – Simple Calculations on Statistical Data

• 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)
• g01am – Find quantiles of an unordered vector, real numbers
• 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 function for g01mu and g01eu
 F16 G02