Prior probability, in Bayesian statistical inference, is the probability of an event based on established knowledge, before empirical data is collected.

Joint probability is a statistical measure that calculates the likelihood of two events occurring together and at the same point in time.

In this note we wish to pass along an example that we have found useful when introducing the concepts of conditional probability and Bayes' Rule to undergraduate students. The advantages of this ...