The Central Limit Theorem says that X is approximately normal if the sample size is large. More specifically, the theorem states that the standardized X̅ has a limiting standard normal distribution. That is, the rv (X̅ – μ) / (σ / √n) has a distribution approaching the standard normal. Can you reconcile this with the Law of Large Numbers?