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Understanding Probability in Class 12 Maths

Probability is a vital chapter in Class 12 Maths and an important topic for JEE Main. It deals with uncertainty and randomness, providing a mathematical framework to predict the likelihood of events.

Probability helps students:

  • Quantify the chance of events occurring

  • Solve problems in games, experiments, and real-life applications

  • Apply formulas for conditional probability, independent events, and total probability

  • Understand Bayes’ theorem and its applications

Mastering this chapter equips students to tackle high-weightage problems in JEE Main efficiently.


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STD 11

1

Set Theory

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2

Relation & Function

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3

Trignometrical Ratios , Functions & Identities

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4.1

Complex Numbers

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4.2

Quadratic Equations & Inequations

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5

linear Inequalities

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6

Permutation & Combination

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7

Binomial Theoram

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8

Sequence & Series

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9

Straight Line

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10.1

Circle & System Of Circle

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10.2

Parabola , Ellipse , Hyperbola

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11

Introduction To Three Dimensional Geometry

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12

Limits

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13

Statistics

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14

Probability

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15

Basic Of Algoritham

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16

Rectangular Cartensian Co-Ordinates

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17

Trigonometrical Equations

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STD 12

1

Relation & Function

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2

Inverse Trigonometric Function

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3

Determinant & Metrices

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4

Continuity & Differentiation

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5

Application Of Derivatives

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6

Inderfinite Integral

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7

Definite Integral

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8

Application & Integration

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9

Differential Equations

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10

Vector Algebra

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11

Three Dimension Geometry

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12

Linear Programming

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13

Probability

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Importance of Probability in JEE Main

Probability is crucial for JEE Main because:

  • Many questions involve reasoning and logical thinking.

  • Conditional probability and Bayes’ theorem are frequently asked.

  • Probability integrates concepts from combinatorics and algebra.

  • Students who master this chapter can quickly solve multi-step problems with accuracy.


Key Concepts in Probability

Students should focus on the following key areas:

  1. Basic Probability Rules:

    • Probability of an event: P(E) = Number of favorable outcomes / Total outcomes

    • 0 ≤ P(E) ≤ 1

    • Probability of the sure event = 1, impossible event = 0

  2. Complementary Events:

    • P(E’) = 1 − P(E)

  3. Addition Rule of Probability:

    • For mutually exclusive events: P(A ∪ B) = P(A) + P(B)

    • For non-mutually exclusive events: P(A ∪ B) = P(A) + P(B) − P(A ∩ B)

  4. Multiplication Rule of Probability:

    • For independent events: P(A ∩ B) = P(A) × P(B)

    • For dependent events: P(A ∩ B) = P(A) × P(B|A)

  5. Conditional Probability:

    • P(A|B) = P(A ∩ B) / P(B)

    • Measures probability of A occurring given that B has occurred

  6. Bayes’ Theorem:

    • P(Bi|A) = [P(Bi) P(A|Bi)] / Σ [P(Bj) P(A|Bj)]

    • Used to update probability when new information is available

  7. Independent Events:

    • Events A and B are independent if P(A ∩ B) = P(A) × P(B)

  8. Random Variables and Probability Distributions:

    • Discrete random variables: Probability mass function (PMF)

    • Continuous random variables: Probability density function (PDF)

    • Expectation and variance of random variables


Types of Problems in Probability for JEE Main

Class 12 Probability problems in JEE Main generally include:

  1. Simple Probability Problems:

    • Calculating probability of single or multiple events

    • Using basic rules and combinatorics

  2. Conditional Probability Problems:

    • Find probability given a condition or prior event

    • Apply multiplication and division rules

  3. Bayes’ Theorem Problems:

    • Update probability when additional information is given

    • Solve real-life examples like diagnostic tests or reliability

  4. Independent and Dependent Events:

    • Identify independent events and use multiplication rules

    • Solve sequential events problems

  5. Random Variable Problems:

    • Calculate mean, variance, and probabilities of discrete random variables

    • Solve expectation problems for small sample spaces

  6. Advanced JEE-Level Problems:

    • Multi-step probability involving combinatorics, conditional probability, and Bayes theorem

    • Word problems integrating multiple probability concepts


Step-by-Step Approach to Solving Problems

For JEE Main, students should follow this approach:

  1. Read the Problem Carefully:
    Identify the type of event and whether it is independent, mutually exclusive, or conditional.

  2. Identify Total Outcomes:
    Count the total number of possible outcomes using combinatorial methods if required.

  3. Apply Probability Rules:
    Use addition, multiplication, conditional probability, or Bayes theorem depending on the question.

  4. Simplify Step by Step:
    Work carefully with fractions and decimals to avoid errors.

  5. Check Logical Consistency:
    Ensure probabilities are between 0 and 1, and sum of all probabilities = 1 if needed.


Common Tricks and Tips for JEE Main

  1. Memorize all standard probability formulas and rules.

  2. Draw tree diagrams for sequential events to visualize outcomes.

  3. Break complex problems into smaller steps.

  4. For Bayes’ theorem, label prior probabilities clearly.

  5. Practice past JEE Main probability problems for speed and accuracy.


Sample Problems and Solutions

Example 1: A die is rolled. Find probability of getting an even number.

  • Solution: Favorable outcomes = {2, 4, 6}, total outcomes = 6

  • Probability = 3/6 = 1/2

Example 2: Two coins are tossed. Find probability of at least one head.

  • Solution: Sample space = {HH, HT, TH, TT}

  • Favorable outcomes = {HH, HT, TH}

  • Probability = 3/4

Example 3: A box contains 3 red and 2 blue balls. One ball is drawn, then another without replacement. Probability both are red.

  • Solution: P(R1 ∩ R2) = (3/5) × (2/4) = 3/10

Example 4: Disease test problem using Bayes theorem – Probability of disease = 0.01, test positive if diseased = 0.95, test positive if healthy = 0.05. Find probability of having disease if test is positive.

  • Solution: P(Disease|Positive) = [0.01 × 0.95] / [0.01×0.95 + 0.99×0.05] = 0.0095 / 0.059 = 0.161 → 16.1%

Example 5: A random variable X takes values 1,2,3 with probabilities 1/4, 1/2, 1/4. Find E(X) and Var(X).

  • Solution: E(X) = 1*(1/4) + 2*(1/2) + 3*(1/4) = 2
    Var(X) = E(X²) − [E(X)]² = (1²1/4 + 2²1/2 + 3²*1/4) − 4 = (1/4 + 8/4 + 9/4) − 4 = 18/4 − 4 = 9/2 − 4 = 1/2


Recommended Resources for Practice

  • NCERT Class 12 Maths textbooks (Chapter: Probability)

  • Previous years’ JEE Main question papers

  • Mock tests and online quizzes on Studentbro.in

  • Video lectures and solved examples for step-by-step learning


Conclusion: Why Mastery is Important

Probability is a highly scoring chapter for Class 12 students preparing for JEE Main. Mastery of this chapter:

  • Strengthens logical reasoning and analytical skills.

  • Provides systematic methods to solve uncertainty-based problems.

  • Prepares students for multi-step probability questions integrating combinatorics and Bayes theorem.

  • Builds confidence to handle real-life and competitive exam problems effectively.

With consistent practice, formula memorization, and careful stepwise problem-solving, Probability can become one of the most scoring chapters in JEE Main Maths.