All Questions
Tagged with nonparametric wilcoxon-mann-whitney-test
176
questions
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How to validate the effect of the type of Task on participants' performance using count data
We conducted a user testing with two groups of participants (Group_A, Group_B).
Group_A performed Task_A (a writing) under Condition_A.
Group_B performed Task_B (a writing) under Condition_B.
Group_A ...
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2
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1
answer
33
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Compare whether one group are significantly closer to real observations than other
I have two groups consisting of non-parametric estimated data of a phenomenon. I want to compare these two groups of estimations with a third group of real observations of the same phenomena. ...
1
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1
answer
582
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Welch's t test vs Mann-Whitney for very unequal groups
I have two vastly unequal groups (n1=18 and n2=400), and want to test mean differences between the groups for some 700 parameters (more specifically, RNA expression levels for 700 genes).
While I ...
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198
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Multiplicity correction after performing non-parametric tests
This is a theoretical question.
I am wondering if multiplicity correction is applicable in the case of non-parametric tests.
I have performed some Mann-Whitney U rank test on two independent samples ...
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489
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Wilcoxon test for independent groups, but with repeated measurements
I need to compare the average amount of money earned by the control group versus the experimental group on a trial level. Each group has 25 subjects.
The variable doesn't have a normal distribution, ...
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39
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Appropriate test for two not-normally-distributed data samples
I have some data comparing training participants who experienced the same training course either face-to-face or virtually (via Zoom). I have two survey items I am comparing. Sample A is for virtual ...
11
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3
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9k
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Can I use a Mann-Whitney U Test with a very small sample?
I want to compare differences between two independent groups (female and male) when dependent variables are continuous. However, my sample size is very small (N=6). I have done a Mann-Whitney U Test ...
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2
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2
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337
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Concept Clarification: Wilcoxon rank test vs two-samples T-test (UPDATE)
I am currently deciding whether to use the Wilcoxon rank test vs two-samples T-test to assess BMI between two unrelated groups. Using the following code to assess normality ...
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65
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Wilcoxon Rank Sum Test appropriate?
I'm using Wilcoxon Rank Sum Test on my data and I'm wondering if there is a better alternative to use and eventually what post-hoc I could do on my data.
Context: The objective is to find the ...
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1
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119
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How can we prove that kruskal wallis test and jonckheere test is equivalent to wilcoxon rank sum test?
How can we prove that kruskal-Wallis test and Jonckheere test is equivalent to Wilcoxon rank sum test when k = 2?
And how can we prove that Friedman test and Page test is equivalent to sign test when ...
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106
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Method selection - multivariable non-parametric
I am not sure about the method selection for my data.
Dependent variable: Continuous variable and grouped in ordered categories. As continuous it is not normally distributed but skewed to the right. ...
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2
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2
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132
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Which is the most suitable non-parametric test (and post-hoc)for a heavily umbalanced groups (3, 15 and 11 observations)?
I am comparing soil properties among different geological substrates.
I have only 3 observations in one category (karst soils), 15 observations in sedimentary terrains and 11 observations in ...
3
votes
1
answer
982
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Permutation test vs Mann–Whitney U test
I am wondering if there exist any advantage of using the Mann-Whitney U test over a permutation test in the following setting:
Suppose I have a group of animals with eggs in their brood chamber, from ...
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1
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1
answer
138
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Consistency of Wilcoxon rank sum statistic
In Chapter 1 of E. L. Lehmann's book Nonparametrics, he refers to the Wilcoxon Rank Sum test in treatment-control experiments. Using Lehmann's notation, let $N$ be the total number of units, $n$ the ...
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189
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quantile regression result different from Mann-Whitney U test
The results of the quantile regression and Mann-Whitney U test are very different. My sample size is 39. The quantile regression returns p-value of 0.83, while Mann-Whitney U test gives 0.33.
Why are ...
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