K-W Subcommand (NPAR TESTS command)
NPAR TESTS K-W=varlist BY variable(value1,value2)
K-W
(alias KRUSKAL-WALLIS
) tests whether k independent samples that are defined by
a grouping variable are from the same population. The output shows
the number of valid cases and the mean rank of the variable in each
group in the Ranks table. the output also shows the chi-square, degrees
of freedom, and probability in the Test Statistics table.
Syntax
- The minimum specification is a test variable, the keyword
BY
, a grouping variable, and a pair of values in parentheses. - Every value in the range defined by the pair of values for the grouping variable forms a group.
Operations
- Cases from the k groups are ranked in a single series, and the rank sum for each
group is computed. A test statistic is calculated for each variable
that is specified before
BY
. - Kruskal-Wallis H has approximately a chi-square distribution.
- Cases with values other than values in the range that is specified for the grouping variable are excluded.
Example
NPAR TESTS K-W=V1 BY V2(0,4).
- This example tests V1 for groups that are defined by values 0 through 4 of V2.