Master conditional probability, the multiplication rule, independence, and Bayes' theorem to solve complex probability problems!
Calculate conditional probabilities!
Problem:
Use Bayes' theorem to find conditional probabilities!
Problem:
Conditional probability is the probability of an event occurring given that another event has already occurred. It's written as P(A|B), read as "the probability of A given B."
Key Concept: When we know B has occurred, we restrict our sample space to only outcomes where B is true, then find the probability of A within that restricted space.
In a deck of 52 cards, what's the probability of drawing an ace given that you've drawn a red card?
Given: Red card drawn (26 red cards)
Red aces: 2 (ace of hearts, ace of diamonds)
P(ace|red): 2/26 = 1/13
If 60% of students pass math and 40% pass both math and science, what's the probability of passing science given they passed math?
Given: P(math) = 0.6, P(math and science) = 0.4
P(science|math): 0.4/0.6 = 2/3 ≈ 0.667