STAT W21 Lecture Notes - Lecture 17: Bayes Estimator, Base Rate Fallacy, Conditional Probability
Document Summary
Given a and b are events and p(a) is the probability of event a, the axioms of probability are: The probability of every event is at least zero (for every event a, p(a) >= 0) If two events are disjoint, the probability that either of the events happens is the sum of. The uniform probability distribution is the same as the distribution postulated satisfies the axioms of probability is called a probability distribution on s by the theory of equally likely outcomes. If s is countable, the sum of the probabilities of the elements of s must be 100% The probability that an event occurs is not always equal to 100% minus the probability. Complement rule that the event does not occur. P(ac) = 100% - p(a) probability that a does occur. It is much easier to calculate the probability that a does not occur than to calculate the.
