[size=150]Conditional Probabilities P(A|B) or P(B|A) [br][br]Random Experiment: An experiment in which all possible outcomes are known, and the exact output cannot be determined in advance.[br][br]The conditional probability P(B|A) of an event B is the probability that the event will occur given an event A has already happened.[br]l[br]The conditional probability is calculated using the formula: [br][br]P(A|B) = P(A ∩ B) / P(B) or P(B|A) = P(A ∩ B) / P(A)[br][br][br]Questions students should be able to answer:[br]1) How is conditional probability different from finding the general probability of an event?[br][br]2) How to find the probability of an event given another event has happened?[/size]