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0 votes
1 answer
485 views

which non parametric test is best for ordinal data?

I want to to do the test where i have to check if first column which is income, and 1 shows < 500, 2 = 1000, 3 = 2000 income values from the data, and which the other column which is a dependent ...
none's user avatar
  • 31
1 vote
4 answers
131 views

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 ...
S. Tiss's user avatar
  • 11
1 vote
1 answer
230 views

Why does my omnibus test do not agree with post hoc test?

So I am running a simple Dunn's Test on my data. After running the Kruskal-Wallis H Test, it returned a result ...
Tyler Ruddenfort's user avatar
4 votes
1 answer
106 views

Nonparemetric tests: how to support the null hypothesis you claim to be testing

Let us assume that we have taken an unbalanced number of independent random samples from 5 different populations, which will be analogous to 5 different locations in this example. Each observation ...
Ryan's user avatar
  • 351
1 vote
0 answers
36 views

2 sample t test

I was thinking that a simple 2 sample t test is not that simple when dealing with skewed data. Considere 2 samples, each one with diferent skewness and kurtosis, both with a big sample sizes (say n > ...
Nip's user avatar
  • 561
2 votes
1 answer
8k views

Fligner-Killeen test of homogeneity of variances interpretation

I have two samples that I want to verify that variances are equals in order to apply Wilcoxon rank sum test that assume that the variance are equals. Here a boxplot As you can see the variance ...
Cyberguille's user avatar
0 votes
1 answer
359 views

Do I need to check for normality in a one-way test (in R)?

http://www.sthda.com/english/wiki/one-way-anova-test-in-r Here it says when the LeveneTest has small p-value we can use the alternative one ...
user avatar
28 votes
2 answers
19k views

Non-parametric test if two samples are drawn from the same distribution

I would like to test the hypothesis that two samples are drawn from the same population, without making any assumptions about the distributions of the samples or the population. How should I do this? ...
Luke Gorrie's user avatar
0 votes
0 answers
54 views

non-parametric statistical testing is better than the parametric one?

Conduct both a parametric and a non-parametric test for the median value of 80. Are the results from both the tests similar? My code is: ...
user avatar
10 votes
1 answer
2k views

Are parametric tests on rank transformed data equivalent to non-parametric test on raw data?

Many non-parametric tests are identical to their parametric equivalent on ranked data. At least, that's what I learned from this blog post on Friedman's test and skimming this 1981 article.. This ...
Jonas Lindeløv's user avatar
3 votes
1 answer
3k views

Critical value for Wilcoxon one-sample signed-rank test in R

I am trying to find the critical value for the Wilcoxon one-sample signed-rank test. Currently, I can find the value using tables. I looked at qwilcox() in R, but ...
Dinesh's user avatar
  • 133
3 votes
0 answers
255 views

Testing semi-parametric versus parametric model

I am estimating a (semi)parametric and a parametric model for a panel data set, and I want to test the functional form by applying the method proposed by Henderson et al. (2008, p.266–267). In ...
Bob's user avatar
  • 271
1 vote
0 answers
304 views

What is the test used in R in sm.regression to compare reference model with kernel regression?

I am doing bivariate kernel regression using the sm.regression function: http://cran.r-project.org/web/packages/sm/sm.pdf There is an option to compare the nonparametric estimate with linear model. ...
Jan Hubik's user avatar
  • 111
3 votes
1 answer
3k views

Hypothesis testing - Wilcoxon test, bootstrapping, or something else?

A colleague has developed a treatment for to "prevent falls" in cognitively impaired, psychiatric patients. Since this would be very useful treatment in this population, we especially do not want to ...
Woodstock's user avatar
  • 165
13 votes
1 answer
12k views

Friedman test vs Wilcoxon test

I'm trying to assess performance of a supervised machine learning classification algorithm. The observations fall into nominal classes (2 for the time being, however I'd like to generalize this to ...
AdrianoKF's user avatar
  • 233

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