Which test should I use for hypothesis testing on more than two dependent non-parametric data?
The Friedman's test seems to be the option, as I have read in several books and webs, but, when I look for it on MatLab, here, it says:
Friedman's test makes the following assumptions about the data in X:
All data come from populations having the same continuous distribution, apart from possibly different locations due to column and row effects.
All observations are mutually independent.
Should I trust MatLab information? or is it that "observations being mutually independent" is different to independent samples? What does that mean then?
Should I then use Friedman's test with my dependent data? I am really confused.