Central Limit Theorem.

.As we have seen throughout this chapter, computing integrals (e.g., the mean and variance) using sampling methods yields estimates that are not exact in finite samples but that become better and better estimates as the sample size increases. Describe how we might quantify how much sampling error is involved in estimating quantities using sampling methods (Hint: Consider the Central Limit Theorem).

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