Hi everyone, more stats puzzles I can't quite figure out because of conflicting information I've read.
Essentially as the title says, I have a large sample size and I am creating 2x2 contigency tables where one cell often has counts <5 or even 0 sometimes. My understanding is that I be running Fishers on these tables right?
Hi, I don't have a particularly strong stats background so wondering what to do about this. Finally completed my data collection for my project (woohoo!) but I've been analysing the data and some of it is skewed and some of it is not.
Specifically, I am looking at blood test results across 4 different time points so for example, sodium and potassium are normally distributed but something like C-reactive protein is way negatively skewed (around -2).
If I want to conduct a statistical analysis on my results should I use Friedmans two way test for just the skewed data and then repeated measures ANOVA for the non-skewed data, or just use the same statistical test for all of them?