Prior and posterior
Bayesian statistics typically incorporates new information (e.g. from a diagnostic test, or a recently drawn sample) to answer a question of the form "What is the probability that..." The answer to this question is referred to as the "posterior" probability, arrived at by modifying a "prior" probability