Central Limit Theorem vs Law of Large Numbers
The Central Limit Theorem states that, given certain conditions, the distribution of the mean of a large sample of independent and identically distributed (i.i.d.) random variables will approximate a normal distribution, even if the original variables are not normally distributed. In other words, as the sample size (n) increases, the distribution of the sample mean … Read more