BASIC DESCRIPTION:
The Stat Stack contains a set of non-parametric statistics programs (and 
the parametric t-test) for use with data that cannot meet the assumptions
required for parametric tests like pearson r and ANOVA.  Some of the tests 
are useful for data on nominal scales (e.g., the chi-square tests), whereas
others can be used when the data are on an ordinal scale (e.g.,Mann-Whitney
U test). This version provides a sample of some of the statistics offered
on the complete version.  For information about the complete version, press
the "How to Order the Complete Version" button.

VERSIONS OF THE "STAT STACK":
The "Stat Stack" comes in two forms: A standard Hypercard 2.2 stack that 
requires Hypercard in order to run and a "stand-alone" version that can
operate without Hypercard.  This sample version requires Hypercard, and
will work with any 2.X version of Hypercard.  However, both versions are
provided if the complete Stat Stack is purchased.  (The stack version saves
considerable disk space.)

USING THE "STAT STACK":
In order to use a particular statistic, press the desired button on the 
left.  This action will take you to the appropriate card for entering data
and running the target program.  Brief descriptions of each test, as well
as the format in which data should be entered, are presented as well.  For
more detailed descriptions of the statistics, Siegel (1956) is
recommended.  For most of the tests, significance values are provided with
p generally set at .05 (two-tailed where relevant).  Some of the programs
allow you to select a desired p from a set of options; others require you
to test for significance by consulting a table.  Relevant tables can also
be found in Siegel (1956).  Tables will also need to be consulted if a p
cutoff other than that provided is desired.

REFERENCE:
Siegel, S. (1956).  Nonparametric statistics for the behavioral sciences.  
New York: McGraw-Hill.