R
Rishtaara
Mathematics · Class 10

Probability

Classical probability, events, and complementary events.

3 sections15–25 min read6 MCQs · 2 examples

Chapter Overview

P(E) = Number of favourable outcomes / Total number of equally likely outcomes. Always check that outcomes are equally likely before using classical probability.

Probability measures likelihood of events on a scale from 0 to 1. Class 10 uses the classical (theoretical) definition for equally likely outcomes — coins, dice, cards, and bags of balls.

Classical Probability

Probability

P(E) = n(E) / n(S)

Complement

P(not E) = 1 − P(E)

Sure event

P(S) = 1

Impossible event

P(∅) = 0

Event Types

  • Elementary event: single outcome
  • Complementary events: E and not E exhaust sample space
  • Sum of probabilities of all elementary events = 1
  • Probability cannot be negative or greater than 1

Solved Examples

Step-by-step solutions — read each step before checking the final answer.

Example 1: Die roll

A fair die is rolled. Find P(getting an even number).

  1. 1S = {1,2,3,4,5,6}, n(S) = 6
  2. 2E = {2,4,6}, n(E) = 3
  3. 3P(E) = 3/6 = 1/2

Answer

1/2

Example 2: Complement

P(winning) = 0.35. Find P(not winning).

  1. 1P(not E) = 1 − P(E)
  2. 2= 1 − 0.35

Answer

0.65

Key Points to Remember

  • 0 ≤ P(E) ≤ 1 for any event E
  • Complementary events are mutually exclusive and exhaustive
  • Equally likely assumption is essential for classical probability

Exam Tips

  • List sample space systematically for cards and dice
  • Use complement when 'at least one' is easier as 1 − P(none)
  • Simplify fractions in final answer

Practice MCQs — Probability

Test your understanding with topic-wise multiple choice questions. Explanations appear after each answer.

Question 1 of 6Score: 0/0

P(impossible event) equals: