Kruskal wallis
The Kruskal – Wallis test ranks by, Kruskal – Wallis H test (named after William Kruskal and W. Allen Wallis), or one-way ANOVA on ranks is tested for a non-parametric method from which samples originate from the same distribution. It is used for comparing two or more independent samples of equal or different sample sizes. Its non-parametric test alternative to one-way ANOVA.
Step 1:
·
Analyze> non-parametric tests>
legacy dialogs> K independent samples
Step 2:
·
Shit variables from left side to the
right side.
Step 3:
·
Define variables as 1 and 2 then
click on continue.
Step 4:
·
Click on the option button
and then click on the continue button.
Step 5:
·
Click on OK
Tables
Ranks
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|||
Gender
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N
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Mean
Rank
|
|
selfetotal
|
Female
|
144
|
152.54
|
Male
|
156
|
148.62
|
|
Total
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300
|
Test
Statisticsa,b
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|
selfetotal
|
|
Chi-Square
|
.154
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Df
|
1
|
Asymp. Sig.
|
.695
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a. Kruskal Wallis Test
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b. Grouping Variable: gender
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