Questions tagged [wilcoxon-signed-rank]
a non-parametric rank test to compare two paired samples, whether values in one are bigger than in the other. This test is NOT the same as the sign test.
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Wilcoxon Matched-Pairs Signed-Ranks Test result interpretation
Lets assume that I am comparing pre intervention weight and post intervention weight of the participant (paired data). From Wilcoxon Matched-Pairs Signed-Ranks Test I and got p-value 0.03. Am I ...
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Wilcoxon signed rank for matched cohort study
I am hoping someone can help me with figuring out something I came across in this article ((https://support.sas.com/resources/papers/proceedings/proceedings/sugi29/165-29.pdf). On page 5 the authors ...
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test for difference between matched pairs in 1:1 matched study
Background: I have a retrospective study (registry) that contains data on people with kidney transplant. Among these patients, we have a very small number of people with a specific genetic disease (n=...
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Why is the upper bound of the 95% CI infinity when using a one sample wilcoxon?
I've been calculating 95% confidence intervals around the psuedomedian in a one sample wilcoxon signed rank tests, with a "greater" alternative and the mu = 0. That is, I have been exploring ...
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Is it correct to use Wilcoxon signed rank test on mean data?
I have X individuals and 2 category of interest (category A and category B) per individual. The problem is that is have a variability in the number of measures I have between individuals and between ...
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Business use cases for Wilcoxon signed-rank test
The Wilcoxon signed-rank test is generally used for non-parametric data (i.e. not normally distributed). When the sample gets large, the data will be approximately normally distributed. Therefore ...
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Why is the null hypothesis for Wilcoxon test not rejected if the sample size is 5?
If I perform a simulation for the one-sample Wilcoxon test (2-sided) for samples of size 5 (1000 times), the null hypothesis could not be rejected. Why?
I know the probability of the test statistic ...
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Appropriate statistical test for group discrete data
I would like to ask what would be the appropriate test to compare mean/median of groups with different number of samples for example:
A: 5%, 10%
B: 3%, 2%, 10%, 12%
C: 20%,25%, 30:
D: 40%, 30%, 25%, ...
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Alternative for Wilcoxon Test?
I'm ending my Master's Thesis, and I'm trying to figure out which test to use to calculate the significance of my data.
Basically, we measured the Free Kick biomechanical parameters of several ...
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If the difference of scores is normally distributed, the sample distributions don't matter in a paired t-test, right?
I have a very straight-forward question:
If the difference of scores is normally distributed, the sample distributions don't matter in a paired t-test, right?
Therefore, If the samples are not ...
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Which statistical Test should I use/ Comparing 2 groups
I am new to statistics, can someone guide me regarding the test I should use to compare the foot dimensions of 9 subjects to footwear dimensions (we have 2 footwear brands).
So, to simplify, I have ...
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I have the same group and want to test differences for two (unrelated) variables - Do I use Wilcoxon signed-rank test or Wilcoxon rank sum test?
I wonder if this is a case that it not clearly specified:
Typically, Wilcoxon rank sum test / Mann–Whitney U test is used for independent groups and testing the values of different variables against ...
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Is Wilcoxon signed-rank suitable to test mean differences between two different, ordinal, variables?
My data consists of 10 perceived risks and 10 perceived benefits, measured on a Likert agreement scale. I would like to test if the means are statistically different.
It is a single sample, evaluating ...
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paired Wilcoxon rank test but with 3 groups
What is the statistical test I should use if I want to run a paired sample Wilcoxon’s signed rank test but I have three groups to compare instead of two?
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What test should I use for a unipolar ordinal rating-scale?
I am trying to analyze answers to 5-point unipolar rating items.
The possible answers can for instance be:
Not at all difficult, Slightly difficult, Moderately difficult, Very difficult, or Extremely ...