13. Probability
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Description:
Master the fundamentals of Class 12 Maths with this detailed guide to Chapter 13 – Probability. This resource offers complete NCERT solutions with clear explanations, step-by-step problem-solving, and conceptual clarity to help you excel in exams.
Fully aligned with the CBSE 2025–26 syllabus, this downloadable, print-friendly PDF is perfect for revision, doubt-solving, and self-study.
Why Choose This Book?
✅ Strictly follows the CBSE 2025–26 syllabus and marking scheme
✅ Covers complete solutions for all NCERT textbook exercises on Probability
✅ Includes topics like conditional probability, Bayes’ theorem, and independent events
✅ Logical steps and diagrams for easy understanding
✅ Answers presented in a CBSE board exam–friendly format
What’s Inside the Book?
✅ Full NCERT solutions for Chapter 13 – Probability
✅ Topics covered:
✅ Step-by-step explanations with solved examples
✅ Diagrams and probability trees for better understanding
Who Can Benefit from This Book?
✅ Class 12 CBSE students preparing for Maths board exams
✅ Students aiming for top scores in JEE, NDA, CUET, and other competitive exams
✅ Teachers and tutors needing accurate NCERT-based solutions
✅ Self-learners and students revising independently
How to Use This Book Effectively?
✅ Start by studying theory from your NCERT textbook
✅ Use this guide to verify your answers and understand complex problems
✅ Practice all solved examples and exercise questions thoroughly
✅ Refer to diagrams for better conceptual clarity
✅ Use as a revision tool before exams and tests
Frequently Asked Questions (FAQs)
Probability is a numerical measure that indicates the chance or likelihood of an event happening, expressed as the ratio of favorable outcomes to the total number of possible outcomes.
Independent events are two or more events where the occurrence of one does not affect the probability of the other occurring.
Conditional probability refers to the likelihood of an event occurring given that another event has already taken place.
Bayes’ theorem is a formula that allows you to revise the probability of an event based on new evidence or information.
The addition rule calculates the probability that at least one of two events happens, taking into account any overlap between them to avoid double-counting.
