Pierre Simon Laplace, Inverse Probability, Central Limit Theorem, Probability, Deep Dives.
probability, how how do you estimate P(p|X_bar_n), where p is the probability density of the real proportion of black tickets in the ticket-filled urn, and X_bar_n is the number of black tickets that you have actually counted in a random sample of size n. This probability is called inverse