Questions tagged [friedman-test]
A non-parametric test for the equality of >2 dependent groups.
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Kruskal-Wallis versus Friedman - Paired data, but not repeated measures/blocks?
I'm trying to compare the difference in behaviour of an animal with no enrichment to the same animal with two (or more) types of enrichment. (Total active behaviours before/total active behaviours ...
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Friedman Test not working. Is this the appropriate statistical test?
I am trying to determine if the mean distance between animal pairs changes across months. According to a Shapiro Wilk test, my mean distance measurements are not normally distributed. Due to this, I ...
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Compare mean of subsamples between groups
I am going to collect quantitative data for two groups that I would like to compare. I have done a two sample t-test on some preliminary data and found a significant difference, but I don't think that ...
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Effect size measure for post-hoc tests after nonparametric tests: Alternatives to calculating r from z score?
I've calculated Friedman's tests for my data and want to report an effect size with the individual post-hoc tests that followed on from the statistically significant Friedman's test.
I use the formula ...
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Which ANOVA / non-parametric alternative should I use?
Apologies if this is a really simple question but I cannot work it out.
I am trying to find out if year and/or location influence the amount of insects caught. Insects are measured in grams per 10km2. ...
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Which statistical method can be used to compare the values of the same variables measured from different views?
I got a biological data set, where I need to run a statistical analysis on.
The data was created on a mass spectrometer and contains the intensity values for around one hundred lipids.
The analysis ...
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Compute Exact Null Distribution for Friedman Statistic
Problem Statement: If there are no ties and $b=2,\;k=3,$ derive the exact null distribution of $F_r,$ the Friedman statistic.
Note: This is Exercise 15.35 in Mathematical Statistics with Applications, ...
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What test to perform on my complicated data...?
I have data that looks like this:
I'm trying to analyze time and num_collisions. Subjects completed each combination of device/rho/lam/hmd x 6 trials [within subjects design, repeated trials]
There ...
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Not sure what test to run to compare the proportions of a count outcome across a variable with 5 levels, between two groups (using R for analyses)
For a case-control study that I've conducted I've measured how many times a count outcome (count_outcome) occurred in each of 4 areas (...
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An a posteriori test to determine non difference across >3 groups given a skewed continuous variable of interest, as an alternative to a Friedman-test
Given a set of items of which each item is once measured using a computative model, each time under a different condition, what is the best way to quantify the magnitude of difference between ...
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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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Finding out the best experimentalist based on statistical analysis
There are $m$ students in a laboratory. Each student is assigned the same task, which is described below.
i). $n$ unknown standards are given to each of them.
ii). Each standard has to be analyzed $p$ ...
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Friedman's test is very significant, but its post hoc comparisons are not significant
This post does not include an answer for my question.
I have perform a Friedman test on a results obtained by several methods on multiple datasets, as described in this paper: "Statistical ...
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Should I rank my data before doing post hoc Dunn test?
I am trying to compare multiple algorithms using the Friedman test and post hoc Dunn test. I know that we should use the rank of our data before performing the Friedman test, but should we rank the ...
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Should I use Friedman test or Mixed Model for my data in R? Nested or not?
I have my Response variable which is Proportion of Range Exposed to extreme events for terrestrial mammal species in the future. More clearly, it is the Difference of Proportion of Range Exposed (DPRE)...
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