Pierre Simon Laplace, Inverse Probability, Central Limit Theorem, Probability, Deep Dives.
(1–0.025) because we knew the CDF of X. We knew the CDF of X because we assumed a certain PDF for X. We assumed that X was log-normally distributed. And here we come to a crucial point. In real life, never will you know the probability distribution of X. Sometimes you can guess what distribution