[Q] What is the fewest number of data points I can remove in order to make a data set pass normality with P

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?

submitted by /u/mruts
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Nevin Manimala

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