I have a simple question. If I have a small number of observations of a large number of variables, is it the distribution of the variables that matters for a statistical test or the distribution of observations for each variable.
For example if I ask 6 people in two groups (3 people per group) 2,000 questions and each question can be answered with a score from 1-10 Is it the distribution of the scores from those 2,000 questions that determines what test I should use or the distributions of the 6 scores for each of the 2,000 questions. Or does it matter what I am trying to test? If I want to know which of those 2,000 questions is significantly different between groups, what distribution is more important?