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AAT Bioquest

Wilcoxon Signed-Rank Test Calculator

Wilcoxon Signed Rank Test is a popular non parametric test for comparison of matched or paired data to assess whether their population mean ranks differ. The test aims to determine how different two sets are from one another and uses the difference between the sets of pairs to establish statistical significance between the two distributions. It assumes that the pairs in the data come from dependent populations and the given data is continuous as opposed to discrete. Moreover, being a non-parametric test, the model does not require a particular probability distribution of the dependent variable as part of the analysis.

How to use this tool

1. Enter the data into the box on the right. Data can be directly copied from Excel or pasted as values in comma-separated, tab-separated, or space-separated formats. If the data is being entered manually, only place one value per line. The format should be as follows:
Data Set 1Data Set 2
X1Y1
X2Y2
X3Y3
X4Y4

Place Data Set 1 into the first column and Data Set 2 into the second. To add a new data set, press on the ‘+’ tab above the data entry area. Variables can be named by double clicking the tab but is optional.

2. Verify your data is accurate in the table that appears.

3. Press the ‘Calculate Rank Test’ button to display results. The output generates a p-value for statistical significance.

Data Entry

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References

This online tool may be cited as follows

MLA

"Quest Graph™ Wilcoxon Signed-Rank Test Calculator." AAT Bioquest, Inc.23 Dec2024https://www.aatbio.com/tools/mann-whitney-wilcoxon-signed-rank-test-calculator.

APA

AAT Bioquest, Inc. (2024December 23). Quest Graph™ Wilcoxon Signed-Rank Test Calculator. AAT Bioquest. https://www.aatbio.com/tools/mann-whitney-wilcoxon-signed-rank-test-calculator.
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This online tool has been cited in 2 publications, including

Telugu Suicides: Before and after Bifurcation of State
Authors: Poduri, Gopala Sarma
Journal: Indian Journal of Private Psychiatry (2023): 55--58
Physics of sliding on water predicts morphological and behavioral allometry in water striders
Authors: Kim, Woojoo and Lee, Jae Hong and Pham, Thai and Tran, Anh and Ha, Jungmoon and Bang, Sang Yun and Jablonski, Piotr and Kim, Ho-Young and others,
Journal: (2022)