So I have a data set, I am very interested in finding the data points that make the data non-normal. So the question is: How do I remove data points until the distribution is normal with P<x? Of course there’s the brute-force solution, with a worst case complexity of n! This is computationally infeasible for me.
How do I tackle this problem?