Probability
Uttar Pradesh Board · Class 12 · Mathematics
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Conditional Probability
- Conditional probability measures the likelihood of an event occurring given that another event has already occurred
- Denoted as P(E|F), read as 'probability of E given F'
- The sample space effectively reduces to the given event when calculating conditional probability
Properties of Conditional Probability
- P(S|F) = P(F|F) = 1, where S is the sample space
- Addition rule: P((A∪B)|F) = P(A|F) + P(B|F) - P((A∩B)|F)
- For disjoint events A and B: P((A∪B)|F) = P(A|F) + P(B|F)
Multiplication Theorem on Probability
- Used to find probability of simultaneous occurrence of two events (E∩F)
- Derived directly from the definition of conditional probability
- Can be expressed in two equivalent forms depending on which event is conditioned
Independent Events
- Two events are independent if occurrence of one doesn't affect probability of the other
- For independent events: P(E|F) = P(E) and P(F|E) = P(F)
- Independence is defined using multiplication: P(E∩F) = P(E)·P(F)
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