Section 2.4: Conditional Probability

1. Define the conditional probability of an event \(A\) given an event \(B\): \(P(A \mid B)\)
2. Identify conditional probabilities using keywords such as if and given.
3. Explain how a conditional probability is a regular probability with a reduced sample space.
4. State and use the product rule to factor probabilities of events constructed as intersections (“ANDs”) of other events.