Prior probability is the probability of an event or hypothesis before any new evidence is taken into account. It serves as a foundational element in Bayesian statistics, where it is updated with new information to form the posterior probability. This concept is essential for understanding how initial beliefs are quantitatively assessed and how they can shift as new data becomes available.
congrats on reading the definition of Prior Probability. now let's actually learn it.