Pierre Simon Laplace, Inverse Probability, Central Limit Theorem, Probability, Deep Dives.
are truly stuck. And this is exactly when the Central Limit Theorem will come to your rescue. The Central Limit Theorem says that if X happens to be the mean of your random sample, then the standardized X (I’ll explain what that is in a minute) converges in distribution to the standard normal