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
Popular Successors
- Box Plot (legacy)18 %
Excel Writer (XLS)7 %- Rule Engine7 %
Loop End5 %Variable to Table Column4 %- Table Transposer4 %
- Wilcoxon-Mann-Whitney Test4 %
- Wilcoxon Signed-Rank4 %
- Column Appender4 %
- Constant Value Column4 %
- String Manipulation4 %
- Loop End (Column Append)2 %
- Column Filter2 %
Joiner2 %- Rule-based Row Filter2 %
- End IF2 %
- Color Manager2 %
Column Appender1 %Column Rename1 %- Numeric Median Test1 %
- Excel Writer1 %
Table Writer< 1 %- Linear Regression Learner< 1 %
- Concatenate< 1 %
- Number to String< 1 %
Row Filter (deprecated)< 1 %- GroupBy< 1 %
- RowID< 1 %
- Value Counter< 1 %
- Shapiro-Wilk Test< 1 %
- Kruskal-Wallis Test< 1 %
- Single sample t-test< 1 %
- Independent groups t-test< 1 %
- Statistics< 1 %
- Table View (JavaScript)< 1 %
Views
- This node has no views
Workflows
02_Example_for_Statistical_TestsKNIME Hub- pibic_analises_bferroKNIME Hub
- pibic_analises_eferroKNIME Hub
- pibic_analises_eferroKNIME Hub
- Statistics assistant(3)(2)KNIME Hub
Links
- No links available
Developers
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.