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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Set Theory |
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Complex Numbers |
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linear Inequalities |
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Introduction To Three Dimensional Geometry |
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Statistics |
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Probability |
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Inverse Trigonometric Function |
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Determinant & Metrices |
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Vector Algebra |
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Linear Programming |
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Probability |
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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.
Students should focus on the following key areas:
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
Complementary Events:
P(E’) = 1 − P(E)
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)
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)
Conditional Probability:
P(A|B) = P(A ∩ B) / P(B)
Measures probability of A occurring given that B has occurred
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
Independent Events:
Events A and B are independent if P(A ∩ B) = P(A) × P(B)
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
Class 12 Probability problems in JEE Main generally include:
Simple Probability Problems:
Calculating probability of single or multiple events
Using basic rules and combinatorics
Conditional Probability Problems:
Find probability given a condition or prior event
Apply multiplication and division rules
Bayes’ Theorem Problems:
Update probability when additional information is given
Solve real-life examples like diagnostic tests or reliability
Independent and Dependent Events:
Identify independent events and use multiplication rules
Solve sequential events problems
Random Variable Problems:
Calculate mean, variance, and probabilities of discrete random variables
Solve expectation problems for small sample spaces
Advanced JEE-Level Problems:
Multi-step probability involving combinatorics, conditional probability, and Bayes theorem
Word problems integrating multiple probability concepts
For JEE Main, students should follow this approach:
Read the Problem Carefully:
Identify the type of event and whether it is independent, mutually exclusive, or conditional.
Identify Total Outcomes:
Count the total number of possible outcomes using combinatorial methods if required.
Apply Probability Rules:
Use addition, multiplication, conditional probability, or Bayes theorem depending on the question.
Simplify Step by Step:
Work carefully with fractions and decimals to avoid errors.
Check Logical Consistency:
Ensure probabilities are between 0 and 1, and sum of all probabilities = 1 if needed.
Memorize all standard probability formulas and rules.
Draw tree diagrams for sequential events to visualize outcomes.
Break complex problems into smaller steps.
For Bayes’ theorem, label prior probabilities clearly.
Practice past JEE Main probability problems for speed and accuracy.
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
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
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.