1. Introduction to Conditional Probability
Conditional probability is the probability of an event occurring, given that another event has already occurred. It fundamentally alters the sample space we consider.
P(A | B) = P(A ∩ B) / P(B)
2. Independent vs Dependent Events
- Independent Events: The occurrence of one event does not affect the probability of the other. P(A | B) = P(A).
- Dependent Events: The occurrence of the first event affects the sample space of the second event (e.g., drawing cards without replacement).
📝 Ready to Practice?
To access full chapter notes, formulas, and practice over 100+ Multiple Choice Questions (MCQs) for this topic, please download our free mobile application.