Statistics, Machine Learning, Data Science, Central Limit Theorem, Sample.
Beta(a=0.1, b=5) distribution is very narrow and skewed. This is the first distribution where we need a large N to see the CLT in action; even at N=50 and K=10,000, the red and blue curves are quite different. Only with sample-size N=1,000 does effect of CLT start to emerge. Additionally, on the