@menu
* BINOMIAL:: Binomial Test
* CHISQUARE:: Chisquare Test
+* KRUSKAL-WALLIS:: Kruskal-Wallis Test
* WILCOXON:: Wilcoxon Signed Ranks Test
+* RUNS:: Runs Test
* SIGN:: The Sign Test
@end menu
If no /EXPECTED subcommand is given, then then equal frequencies
are expected.
+
+@node KRUSKAL-WALLIS
+@subsection Kruskal-Wallis Test
+@comment node-name, next, previous, up
+@vindex KRUSKAL-WALLIS
+@vindex K-W
+@cindex Kruskal-Wallis test
+
+@display
+ [ /KRUSKAL-WALLIS = varlist BY var (lower, upper) ]
+@end display
+
+The Kruskal-Wallis test is used to compare data from an
+arbitrary number of populations. It does not assume normality.
+The data to be compared are specified by @var{varlist}.
+The categorical variable determining the groups to which the
+data belongs is given by @var{var}. The limits @var{lower} and
+@var{upper} specify the valid range of @var{var}. Any cases for
+which @var{var} falls outside [@var{lower}, @var{upper}] will be
+ignored.
+
+The mean rank of each group as well as the chi-squared value and significance
+of the test will be printed.
+The abbreviated subcommand K-W may be used in place of KRUSKAL-WALLIS.
+
+
@node WILCOXON
@subsection Wilcoxon Matched Pairs Signed Ranks Test
@comment node-name, next, previous, up
of variable preceding @code{WITH} against variable following
@code{WITH} are performed.
+@node RUNS
+@subsection Runs Test
+@vindex RUNS
+@cindex runs test
+
+@display
+ [ /RUNS (@{MEAN, MEDIAN, MODE, value@}) varlist ]
+@end display
+
+The /RUNS subcommand tests whether a data sequence is randomly ordered.
+
+It works by examining the number of times a variable's value crosses a given threshold.
+The desired threshold must be specified within parentheses.
+It may either be specified as a number or as one of MEAN, MEDIAN or MODE.
+Following the threshold specification comes the list of variables whose values are to be
+tested.
+
+The subcommand shows the number of runs, the asymptotic significance based on the
+length of the data.
@node SIGN
@subsection Sign Test
It is used to compare the means of a population
divided into more than two groups.
-The variables to be analysed should be given in the @code{VARIABLES}
+The dependent variables to be analysed should be given in the @code{VARIABLES}
subcommand.
The list of variables must be followed by the @code{BY} keyword and
the name of the independent (or factor) variable.
display a warning, but will proceed with the analysis.
The @code{CONTRAST} subcommand may be given up to 10 times in order
to specify different contrast tests.
+The @code{MISSING} subcommand defines how missing values are handled.
+If LISTWISE is specified then cases which have missing values for
+the independent variable or any dependent variable will be ignored.
+If ANALYSIS is specified, then cases will be ignored if the independent
+variable is missing or if the dependent variable currently being
+analysed is missing. The default is ANALYSIS.
+A setting of EXCLUDE means that variables whose values are
+user-missing are to be excluded from the analysis. A setting of
+INCLUDE means they are to be included. The default is EXCLUDE.
+
@node RANK
@comment node-name, next, previous, up