A ? | Ac ? | Marginal P(B) ? | |
|---|---|---|---|
B ? | P(A∩B) ? | P(Ac∩B) ? | P(B) ? |
Bc ? | P(A∩Bc) ? | P(Ac∩Bc) ? | P(Bc) ? |
Marginal P(A) ? | P(A) ? | P(Ac) ? | Total 1.000 ? |
Joint probability measures the likelihood that two events occur together. For events A and B, P(A∩B) represents the probability that both happen simultaneously.
Sample Space: All four joint probabilities represent mutually exclusive outcomes that cover the entire sample space.
Marginal Probabilities: The sum of joint probabilities across a row or column gives the probability of a single event.
Complement: P(Ac) = 1 - P(A) represents the probability that A does NOT occur.
The four joint probabilities partition the sample space into mutually exclusive and exhaustive events. Therefore, they must sum to exactly 1.