NCERT Solutions for Class 10 Maths Chapter 14: Probability
NCERT Solutions for Class 10 Maths Chapter 14 – Probability introduces students to one of the most fascinating and applicable areas of mathematics: the study of chance and likelihood. From predicting the weather in Chennai to understanding the chances of winning a game in a school fair in Jaipur, probability is a concept that connects mathematics to everyday decision-making. Chapter 14 of NCERT Class 10 Maths focuses on theoretical (classical) probability—a clean, formula-based approach where every outcome is assumed to be equally likely. For other chapters of NCERT Solutions for Class 10 Maths, check NCERT Solutions for Class 10 and NCERT Solutions.
At Myclass24, our NCERT Solutions for Class 10 Maths Chapter 14 cover all exercises with full explanations, clearly identifying the sample space, favourable outcomes, and probability calculation for each question. This chapter has two exercises and a substantial number of questions, many of which are based on real-life scenarios such as drawing cards, rolling dice, picking balls from bags, and selecting days of the week. Students from CBSE schools across India will find this chapter scoring and logical once the fundamentals are understood well. Myclass24 builds that understanding from the ground up, making the chapter accessible for both average and advanced learners preparing for board exams.
Download PDF: NCERT Solutions for Class 10 Maths Chapter 14 – Probability
The free PDF for NCERT Solutions for Class 10 Maths Chapter 14 is available at Myclass24. The PDF covers both Exercise 14.1 and Exercise 14.2 with complete solutions, clearly explained sample spaces, and probability calculations. The PDF is optimised for mobile viewing so students can access solutions on their phones while revising. The layout ensures that each question, its solution steps, and the final answer are clearly separated for quick reference.
Chapter 14 – Probability Concepts, Tables, and CBSE Exam Focus
Chapter 14 is the last chapter of Class 10 Maths and belongs to the Statistics and Probability unit. The chapter introduces the theoretical definition of probability as: P(E) = Number of Outcomes Favourable to E / Total Number of Equally Likely Outcomes. This formula is the backbone of the entire chapter. The chapter covers elementary events, compound events, complementary events, and impossible and certain events—all supported by real-world examples.
Core Probability Concepts at a Glance
| Concept | Description | Value Range |
| Probability of Event | P(E) = Favourable / Total | 0 ≤ P(E) ≤ 1 |
| Certain Event | Event that always occurs | P = 1 |
| Impossible Event | Event that never occurs | P = 0 |
| Complementary Event | P(E) + P(not E) = 1 | Always sums to 1 |
Common Experiments and Their Sample Spaces
| Experiment | Total Outcomes | Common Questions |
| Tossing 1 Coin | 2 (H, T) | P(Head), P(Tail) |
| Tossing 2 Coins | 4 (HH, HT, TH, TT) | P(2 Heads), P(1 Tail) |
| Rolling 1 Die | 6 (1 to 6) | P(Even), P(>4) |
| Standard Deck of Cards | 52 Cards | P(King), P(Red Card) |
| Drawing from a Bag | Depends on content | P(Red Ball), P(Not Blue) |
Exercise-Wise Question Breakdown
| Exercise | Topic | Questions |
| Ex 14.1 | Classical (Theoretical) Probability | 25 Questions |
| Ex 14.2 | Application-based Problems | 5 Questions |
Playing Cards – A Detailed Breakdown for Exam Preparation
One of the most common sources of questions in Chapter 14 involves a standard deck of 52 playing cards. Here are the facts students must know: A deck has 52 cards divided into 4 suits—Spades (black), Clubs (black), Hearts (red), and Diamonds (red). Each suit has 13 cards: Ace, 2, 3, 4, 5, 6, 7, 8, 9, 10, Jack, Queen, King. There are 4 Aces, 4 Kings, 4 Queens, and 4 Jacks in total. Face cards are Jack, Queen, and King—12 in total. Red cards number 26 and black cards number 26. Myclass24 solutions for card-based probability questions clearly list the sample space and identify the favourable outcomes before calculating the probability.
Important Properties and Rules
Students must remember the following key rules for Chapter 14: The probability of any event always lies between 0 and 1 (inclusive). The sum of probabilities of all elementary events of an experiment is always 1. If E is any event, then P(E) + P(not E) = 1, making P(not E) the complementary event. An event with probability 0 is impossible, and one with probability 1 is certain. Myclass24 emphasises these rules in every solution so students internalise them naturally through practice.
All content on this page is provided by Myclass24 for educational purposes. Our NCERT Solutions are prepared by experienced teachers and subject experts to help Class 10 students excel in their CBSE board examinations.
FAQs on NCERT Solutions for Class 10 Maths Chapter 14: Probability
Probability is the branch of mathematics that measures the likelihood of an event occurring. It helps predict outcomes and analyze situations involving uncertainty. In this chapter, students learn the basic concepts of probability using simple experiments and observations. Probability is important because it is widely used in science, economics, weather forecasting, games, and decision-making. Understanding probability helps students think logically about chance and risk. It also provides a foundation for advanced statistical and mathematical studies in higher classes.
An event is a specific outcome or a group of outcomes from an experiment. For example, obtaining an even number when rolling a die is an event. Events are the basic building blocks of probability calculations because probabilities are assigned to them. Students learn how to identify favorable outcomes and compare them with total possible outcomes. Understanding events helps simplify probability problems and improves logical reasoning. Many examination questions focus on identifying and analyzing events correctly before performing calculations.
Probability is calculated by dividing the number of favorable outcomes by the total number of possible outcomes, provided all outcomes are equally likely. This approach helps students determine the likelihood of various events. Probability values always lie between zero and one. A probability closer to one indicates a higher chance of occurrence, while a value closer to zero indicates a lower chance. Understanding this calculation method is essential because it forms the basis of all probability-related problem-solving in this chapter.
Experimental probability is based on actual observations obtained through experiments, while theoretical probability is based on mathematical reasoning and expected outcomes. Experimental probability may vary depending on the number of trials performed, whereas theoretical probability remains fixed under given conditions. Understanding the difference helps students appreciate how probability works in both practical and mathematical contexts. Examination questions often compare these two types of probability and require students to interpret results effectively.
Probability represents the chance of an event occurring. A probability of zero means the event is impossible, while a probability of one means the event is certain. Since no event can be less impossible than impossible or more certain than certain, probability values must lie between zero and one. Understanding this principle helps students verify answers and identify calculation mistakes. This concept is fundamental to probability theory and is frequently tested in school and board examinations.
Probability is used in weather forecasting, insurance, business planning, sports analysis, medicine, and scientific research. It helps people evaluate risks and make informed decisions based on available information. For example, weather predictions are often expressed in terms of probability. Businesses use probability to estimate demand and manage uncertainty. Learning probability enables students to understand how mathematics supports decision-making in real-world situations. These applications demonstrate the practical relevance of probability beyond classroom studies.
Students often miscount favorable outcomes or total outcomes, leading to incorrect probabilities. Another common mistake is assuming outcomes are equally likely when they are not. Errors may also occur while simplifying fractions or interpreting the final answer. To avoid these problems, students should carefully list possible outcomes and verify calculations. Practicing different types of probability questions improves accuracy and confidence. A systematic approach helps students solve examination questions more effectively and avoid unnecessary mistakes.