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Results tagged with wilcoxon-mann-whitney-test
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user 168032
The Wilcoxon rank sum test, also known as Mann-Whitney U test, is a non-parametric rank test to assess whether one of two samples has larger values than the other.
1
vote
1
answer
345
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How to explain wilcox.test strange result example?
I am using R to do below test:
hsb2 <- within(read.csv("https://stats.idre.ucla.edu/stat/data/hsb2.csv"), {
race <- as.factor(race)
schtyp <- as.factor(schtyp)
prog <- as.factor(prog)})
Then,
…
- 507
6
votes
2
answers
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Can the Wilcoxon rank sum test give a different result to the Kolmogorov-Smirnov test result?
Let's say I have two data sets (in R, say); $x_1, x_2,..., x_n$ and $y_1, y_2,..., y_n$.
The Wilcoxon rank sum test rejects, indicating that the "X" population distribution differs from that for "Y". …
- 507