🎓 Senior Secondary
| CBSE • Mathematics

Probability

Conditional probability, Bayes' theorem, random variables, Binomial distribution.

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Probability — Lesson

1) Hook — A Fun Real-Life Example

Imagine you are at a bustling Indian wedding, and the priest asks you to pick a card from a deck to win a special gift. The deck has 52 cards, and you wonder: What are the chances of picking a heart or a king? This simple question leads us into the fascinating world of Probability, which helps us measure uncertainty and make informed predictions in everyday life — from cricket matches to weather forecasts!

2) Core Concepts — Clear Explanation with Examples

Probability of an event is a number that measures the likelihood of that event occurring. It is always between 0 and 1.

Sample Space (S): The set of all possible outcomes.

Event (E): A subset of the sample space.

Definition: Probability of an event E is given by

P(E) = Number of favorable outcomes to E / Total number of outcomes in S

Example 1: Toss a fair coin. Find the probability of getting a head.

Sample Space (S) {Head (H), Tail (T)}
Number of outcomes 2

Number of favorable outcomes for event E = getting a head = 1

Therefore, P(E) = 1/2 = 0.5

Example 2: From a well-shuffled pack of 52 cards, find the probability of drawing a card which is either a heart or a king.

Event Number of Cards
Hearts (H) 13
Kings (K) 4
King of Hearts (K ∩ H) 1

Using the formula for union of two events:

P(H ∪ K) = P(H) + P(K) − P(H ∩ K)

Calculate each probability:

  • P(H) = 13/52 = 1/4
  • P(K) = 4/52 = 1/13
  • P(H ∩ K) = 1/52

Therefore,

P(H ∪ K) = 1/4 + 1/13 − 1/52 = (13/52) + (4/52) − (1/52) = 16/52 = 4/13

3) Key Formulas / Rules

Basic Probability:

P(E) = Number of favorable outcomes / Total outcomes in sample space

Complement Rule:

P(E') = 1 − P(E)

(E' is the event "not E")

Addition Rule:

P(A ∪ B) = P(A) + P(B) − P(A ∩ B)

Multiplication Rule (for independent events):

P(A ∩ B) = P(A) × P(B)

Conditional Probability:

P(A|B) = P(A ∩ B) / P(B), provided P(B) ≠ 0

4) Did You Know?

In 1654, the famous mathematician Pierre de Fermat and the gambler Chevalier de Méré exchanged letters that laid the foundation of probability theory — all while discussing dice games! Today, probability helps us design fair cricket tournaments, predict election results, and even improve Bollywood movie success rates.

5) Exam Tips — Common Mistakes & Board Exam Patterns

  • Always define the sample space clearly. Many students forget to identify all possible outcomes before calculating probability.
  • Use Venn diagrams
  • Watch out for double counting in union of events; subtract the intersection once to avoid errors.
  • Remember the complement rule — sometimes it's easier to find P(E') and subtract from 1.
  • Practice previous year questions: CBSE often asks problems on:
    • Probability of drawing cards (hearts, kings, face cards)
    • Dice rolling problems (sum of numbers, getting a particular number)
    • Conditional probability and independent events
    • Use of addition and multiplication rules
  • Time management: Probability questions usually carry 2-4 marks; practice solving them quickly with accuracy.
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