Probability
187 Practice MCQs available for CA Foundation
Paper
Paper 3: Quantitative Aptitude
Exam Weightage
5-7 Marks
Key Topics
Probability Operations, Expected Value
A logic-heavy chapter dealing with random experiments, events (mutually exclusive, exhaustive), set theory probability, conditional probability, and Bayes' Theorem. It forms the basis for Theoretical Distributions.
Exam Strategy Tip
Always draw a quick Venn Diagram or tree when faced with 'At least one' or 'Only A but not B' wording. It saves you from double-counting.
Key Terms
Probability
A numerical measure of the likelihood of an event occurring, expressed as a number between 0 (impossible) and 1 (certain). Formula: P(A) = Number of favorable outcomes / Total number of equally likely outcomes.
Independent Events
Two events A and B are independent if the occurrence of one does not affect the probability of occurrence of the other. For independent events: P(A∩B) = P(A) × P(B).
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