Please pardon me if this question is not clear. I am not sure if I am using the right terminologies.
I have conducted an experiment in different environments multiple times. So my data looks something like this:
Environment1 1.2 2.1 1.1 1.5 1.6 Environment2 4.2 2.6 3.5 2.5 2.9 Environment3 7.2 4.6 5.3 4.5 1.6 Environment4 0.0 0.0 1.2 15.0 0.0 Environment5 3.2 2.4 7.2 5.5 6.6 Environment6 23.2 32.1 18.1 1.5 19.6
I can clearly see (or maybe my intuition says) that the experiment was not conducted properly in Environment4 (too low and fluctuating a lot) and Environment5 (way too high) but am not sure how to prove this. Am I supposed to rely on hypothesis-testing with the hypothesis:
The experiment was not conducted properly in Environments 4 and 6.
and then use some procedure to prove this? Or is there a standard way of showing this? Can someone please help me how to approach this kind of problems? I am using R.