← CBSE Class 10
Probability
Chapter Overview
Probability quantifies the likelihood of events. The theoretical (classical) probability of an event E is P(E) = number of favorable outcomes / total number of possible outcomes. The sum of probabilities of all elementary events of an experiment is 1. The probability of a sure event is 1, and the probability of an impossible event is 0. Complementary events: P(E) + P(not E) = 1. Problems involve coins, dice, cards, and real-life scenarios.
Topics Covered
- Theoretical Probability
- Experimental Probability
- Elementary Events
- Sure and Impossible Events
- Complementary Events
- Coin Problems
- Dice Problems
- Card Problems
Key Formulas
P(E) = favorable outcomes/total outcomes
P(E) + P(not E) = 1
0 <= P(E) <= 1
P(sure event) = 1
P(impossible event) = 0
Real-World Applications
Applications: Games of chance, weather prediction, risk assessment, decision making, quality testing.
Study Tips
Tip: Define the sample space first for each problem
Tip: Practice problems with coins, dice, and cards
Tip: Understand the complement concept well