Statistics, Machine Learning, Data Science, Central Limit Theorem, Sample.
approximation becomes better. But note that the rightmost column (with K=10,000) is not always a Normal distribution; particularly, in the case of the Beta distribution, it is still very skewed at low values of N. However, we see that as K increases, the red line converges to the black line, i.e.