h2(#description). Description
In this template Rapporter will present you Kruskal Wallis test.
h3(#introduction). Introduction
"Kruskal-Wallis test":http://en.wikipedia.org/wiki/Kruskal-Wallis 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.
Kruskal-Wallis test for _Age_ and _Internet usage for educational purposes (hours per day)_
1010 |
1 |
_1.056e-221_ * * * |

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.
h2(#description-1). Description
In this template Rapporter will present you Kruskal Wallis test.
h3(#introduction-1). Introduction
"Kruskal-Wallis test":http://en.wikipedia.org/wiki/Kruskal-Wallis 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.
Kruskal-Wallis test for _mpg_ and _drat_
47.28 |
1 |
_6.14e-12_ * * * |

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.

This report was generated with "R":http://www.r-project.org/ (3.0.1) and "rapport":http://rapport-package.info/ (0.51) in _0.267_ sec on x86_64-unknown-linux-gnu platform.
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