# Kruskal-Wallis multcompare comparison intervals

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Michael Werthmann on 9 Jul 2021
Commented: Scott MacKenzie on 11 Jul 2021
Hello,
currently I am analysing results of my study and I found that a good multcomparison for it would be using the kruskalwallis with dunn-sidak.
My question is now, how to interpret the comparison intervals, which are not confidence intervals. I know, that if they do not overlap, the data comes from different distributions. But how are these comparison intervals generated?
Through researching and playing with the data and multcompare graphs I found that the width of the comparison intervals equals to 4 x the standard error (obtained through [m] = multcompare(stats)). Why is that the case?
However, I cannot find a reference of how these standard errors are calculated. And I cannot find anything on the MATLAB documentation.
Can you help me?
Another question is how do I label the x-axis of the multcompare graph for a publication? In principal, 'ranks' should be correct, right?
Thank you and kind regards
Michael
Scott MacKenzie on 11 Jul 2021
I'm not sure about the 2nd plot, but for the box plot, let's start first with the y-axis.
I doubt "Jaccard" is the correct label. The label should be whatever the values represent. For the first box, the value is about 0.77. What is that? Perhaps "Coefficient Increase" or "Segmentation Overlap", or whatever the measure represents.
For the x-axis label, an appropriate label is probably something like "Image Registration Technique". For the x-axis tick labels, the first one should probably be "Jaccard". The other four tick labels should be names associated with the algorithms. Probably, "Algorithm 1", "Algorithm 2", etc., is a bit bland. I'm sure you have better names for these. Hope this helps. Good luck.

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