Basic Statistics
 The COUNTS command

The PSTAT COUNTS command
produces frequency distributions and percentages for all unique
values of all character and numeric variables in the input file.
There may be an unlimited number of different values of each variable.
Character variables may be any length. Cumulative counts and
percentages are calculated, as are various means and measures of
variation. If weighting is requested, both unweighted and
weighted frequencies and statistics are computed. Multiple response
or related variables may be combined and their values tallied
as if they were single variables. Percentages of combined
variables can be based on good or total responses or respondents.
Value labels may be supplied. A single BY variable can be used
to get subgroup results.
More than 40 different univariate statistics ranging from the mean
and median to harmonic and geometric means, percentiles, moments and
tests of normality. The output can be displayed as a nicely formatted
table with selected contents or printed out in complete detail with
maximum precision.
 Other Statistics

TURF is a
statistical model which can be used to answer questions such as:

Where should we place our ads to reach the widest possible audience?

If we add a new model to our line will we gain enough new customers
to justify the expense?
For a complete information
about the PSTAT implementation of
TURF analysis see TURF.

The TTEST Command compares the means of two sample groups and tests the
significance of the difference between the groups.

There are 21 nonparametric tests  tests which make no assumptions
about the distribution of the data. Included are one sample tests such
as chisquare and KolmogorovSmirnov; twoindependentsample tests such as the
MannWhitney U test; twopairedsample tests such as the McNemar test.
KIndependent and Kpaired sample tests are also included. Both Spearman and
Kendall rank correlation coefficients can be requested.

Exploratory data analysis includes nine procedures including stem and
leaf and box plots. A separate BOX.PLOT command produces box plots
using PostScript controls for presentation quality graphics.

There are commands to do correlation, stepwise regression, nonlinear
regression, analysis of variance, discriminant analysis, factor analysis,
survival analysis and forecasting. Matrix operations combined with the
programming language permit many other statistical techniques to be
performed. These can be stored as macros so that they are easy to
use.