6.3, due Nov 9

Difficult:
The hardest part about this assignment for me was figuring out the intuition of the difference between the sum of i.i.d. random variables being normally distributed, and the distribution from which they were originally sampled being normally distributed.

Reflective:
I can already see how useful this will be. I thought it was fascinating that in Ex. 6.3.3. they show us that while the Law of Large Numbers gives us a (not very helpful) upper bound on P, with the Central Limit Theorem we can give an approximation of exactly what that probability will be.

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