The median (and IQR) time to disintegrate results are in the table at the bottom which might give a clearer idea of what I would like to ask. I then monitored them for how long it took for each patch to disintegrate and recorded this duration in days. I used three different bioprinters to print a series of patches with three different materials. If I cannot use the Mann-Whitney U or Kruskal-Wallis, is there any stats test I can use? Is it even appropriate to do any stats hypothesis testing on my data at all, given the method I used to obtain the data means that the samples in each group are not going to follow data distributions of the same shape (GraphPad says I cannot do this: ). If I have three groups of non-parametric sample data, can I use the Mann-Whitney U test to test the Null Hypothesis for group 1 against 2, then 1 against 3, then 3 against 2? Or do I need to use the Kruskal-Wallis test? GraphPad states that sequential testing using the Mann-Whitney U against each group is not appropriate but I cannot logically think why that would be the case and the Kruskal Wallis won't tell me which group is different or not, only if there is a difference somewhere between all three: ĭo I need to test whether my data is normally distributed, or can I assume it isn't based on what I expect given my experiment and results (details below). My question has three parts (the method and results for my experiment follow the questions):
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