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Thread: Appropriate test for non-normal data with less than two groups?

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    Appropriate test for non-normal data with less than two groups?




    Hello,

    My question is about what kind of statistical test I can use with my data. I have two groups of 6 participants (one control group and one experimental group). I have data on protein expression in 12 different regions of the brain. I would like to find out if there is a significant difference between protein expression of participants in the control group vs. the experimental group, in any of the 12 brain regions.

    As my data are non-normally distributed, I can't do an ANOVA. I also read that I can't use a Kruskal-Wallis test as I have less than three groups. So far, I have tried a Mann-Whitney test, but am unsure if I'm able to correct for multiple comparisons when using this test.

    Any advice would be greatly appreciated.

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    Re: Appropriate test for non-normal data with less than two groups?

    Yeah, if you are looking for a test of two groups with non-normal outcome that is the test (Wilcoxon rank sum) most people will use. And yes, you can perform post hoc corrections for multiple tests (e.g., Bonferroni).
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    Re: Appropriate test for non-normal data with less than two groups?


    Great. Thank you very much for your help.

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