Rapport package team
 Kruskal Wallis test
 2011-04-26 20:25 CET

Contents
•	Description
–	Introduction
•	Description
–	Introduction
Description
In this template Rapporter will present you Kruskal Wallis test.
Introduction
Kruskal-Wallis test is a non-parametric statistical test that assesses hypothesis of equality of two independent sample's/variabels' variances. Most of the time it's being used beacuse the normality assumptions didn't meet for the samples/variables, but we need the assumption of the equal variances, so it can be an alternative of the Two-sample t-test. Significant result means difference between the samples/variables.
Test statistic
	df
	P value
	
1010
	1
	1.056e-221 * * *
	
Kruskal-Wallis test for Age and Internet usage for educational purposes (hours per day)
As you can see in the table the test's degrees of freedom is 1, the joint test-statistic is 1010, so the p-value of the Kruskal-Wallis test is 1.056e-221. Thus we can reject the assumption of the equal variances.
Description
In this template Rapporter will present you Kruskal Wallis test.
Introduction
Kruskal-Wallis test is a non-parametric statistical test that assesses hypothesis of equality of two independent sample's/variabels' variances. Most of the time it's being used beacuse the normality assumptions didn't meet for the samples/variables, but we need the assumption of the equal variances, so it can be an alternative of the Two-sample t-test. Significant result means difference between the samples/variables.
Test statistic
	df
	P value
	
47.28
	1
	6.14e-12 * * *
	
Kruskal-Wallis test for mpg and drat
As you can see in the table the test's degrees of freedom is 1, the joint test-statistic is 47.28, so the p-value of the Kruskal-Wallis test is 6.14e-12. Thus we can reject the assumption of the equal variances.
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This report was generated with R (3.0.1) and rapport (0.51) in 0.267 sec on x86_64-unknown-linux-gnu platform.