I have a distribution of a large group. It's uniform, and looks like this:
I have experimental results, where I look to observe members of this group. I don't in any way expect a majority of them to be present.
My experimental results have a sampling distribution that looks like this:
To me, this looks like a nonrandom sample from the main group. And I'd like to show this. I want to resample random selection from the main group, but my problem is I don't know what kind of metric to assess.
Mean/standard deviation/variance all look rather similar. Is there a better metric I could use to assess what my random resampled groups look like, and show that the distribution of the sampled group is nothing like my resampled groups?
Or is there a test I could use in this case?