Wilcoxon-Mann-Whitney Test

The non-parametric Wilcoxon-Mann-Whitney test (a.k.a. Mann–Whitney U test, Wilcoxon rank-sum test) tests if two independent samples, with ordinal attributes, originate from populations with the same distribution.

More information can be found at Wilcoxon-Mann-Whitney test on Wikipedia.

Hypotheses:
H0: the distributions of the populations are the same.
HA: the distributions of the populations are different.

Options

Test Column
Column containing independent, ordinal samples.
Group Column
Column containing group labels.
Group One
Label of first group.
Group Two
Label of second group.
Missing Value Strategy
Strategy on how missing and Double.NaN values are treated.
  • Fixed: Missing values will be replaced with Double.NaN.
  • Failed: An exception is thrown and the node fails to execute.
  • Maximal: Missing values are considered to be maximal in the ranking.
  • Minimal: Missing values are considered to be minimal in the ranking.

Input Ports

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Input table with at least one ordinal column and one nominal column (groups).

Output Ports

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Output table with Wilcoxon-Mann-Whitney test statistics, p-Value, and descriptive statistics of group ranks.

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Installation

To use this node in KNIME, install the extension KNIME Statistics Nodes (Labs) from the below update site following our NodePit Product and Node Installation Guide:

v5.4

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland
Plugin version: 5.4.0.v202407231410
On NodePit since: 2024-12-06
Last update: 2024-12-21
KNIME versions: Since v3.6

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