All Questions
Tagged with wilcoxon-signed-rank hypothesis-testing
104
questions
2
votes
1
answer
207
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what is the meaning of “One-sample test.”?The following is clearly a two-sample test for wilcox.test
The code that inspired this question can be found here and below:
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0
votes
0
answers
75
views
Questions about equivalence hypothesis testing
The setup for the current question is the same as a previous question of mine, with one important difference: I have decided to go for a paired test, by always performing two consecutive experiments ...
1
vote
0
answers
45
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Wilcoxon test on distribution derived from bootstrapping
We have two Chocolate bags X and Y. Each chocolate bags have total 1000000 chocolate boxes randomly sampled from 100 types of chocolate boxes (B1, B2, …, B100). These chocolate boxes are of different ...
2
votes
1
answer
59
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Paired t-test on dependent samples
I have a set of paired observations, corresponding to patient blood pressure before and after a treatment. I'd like to test for the significance of the treatment by conducting a paired t-test (or ...
0
votes
0
answers
11
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simulate the number of samples to be statistic relevant using a non-paremetric paired test
I have an experiment where a group of subjects must learn to associate some sounds to images (say, sound 1-image 1, sound2-image 2,... soundN-imageN).
They do a memory test (we present sounds and ...
3
votes
2
answers
238
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Transitivity of Wilcoxon signed-rank test
I have performed Wilcoxon signed-rank tests for variables $X$, $Y$, and $Z$, where it appears that (speaking informally) $X < Y < Z$. Indeed, the p-value for the one-sided Wilcoxon signed-rank ...
0
votes
1
answer
66
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Validity of Wilcoxon Signed Rank or Spearman for 2 Likert Scales
I am working on my MSc dissertation findings and I have data results from two 5-Point Likert scales. One Likert measured self-assessed behaviour, whilst the other measured attitude. (Both scales were ...
1
vote
1
answer
51
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Constant p-value for all my tests
I am comparing the performance of two AI models across 15 data sets. One model performs heavily better than the other on all the performance metrics.
When I perform a one-tailed Wilcoxon signed rank ...
1
vote
0
answers
64
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I'm having trouble choosing between Wilcoxon matched pairs test and McNemar test for a data set
I have a data set on a large group of long-term stroke survivors. I need to determine whether there is a difference in ability (on a scale of 1-10) between their left and right arms. The ordinal data ...
3
votes
1
answer
2k
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Post-hoc tests after Friedman test
In Statistical Comparisons of Classifiers over Multiple Data Sets (p. 12) Janez Demsar suggests to use the Bonferroni-Dunn test as a post-hoc test after the null hypothesis of an initial Friedman test ...
2
votes
2
answers
45
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Why is p value different in same hypothesis? [closed]
wilcox.test(weight ~ group, data = my_data, paired = TRUE)
wilcox.test(weight , group, data = my_data, paired = TRUE)
can anyone specify the difference to me ...
2
votes
0
answers
143
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One sample Wilcoxon Rank-Sum Test to compare percentiles
I have 10th, 25th, 50th, 75th and 90th percentiles of a population which is NOT normally distributed. On the other hand, I have a sample from that population and I want to test if its percentiles are ...
0
votes
0
answers
22
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Can you accept the alternative hypothesis is the Wilcoxon rank sign test says to retain the null hypothesis?
All the tests that were carried out prior to WRS test shows to reject null hypothesis, but WRS test is saying to retain the null hypothesis.
However, rejecting the null hypothesis makes more sence. Is ...
1
vote
4
answers
131
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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 ...
0
votes
0
answers
22
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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%, ...