CBSE Class 10 Mathematics Chapter 15 Probability NCERT Solutions
This comprehensive set of NCERT Solutions for CBSE Class 10 Mathematics, Chapter 15 on Probability, provides detailed explanations and answers to all exercises. The solutions cover fundamental concepts of probability, including defining events, understanding equally likely outcomes, and the properties of probability. Students will find clear explanations for calculating the probability of impossible and certain events, as well as the relationship between the probability of an event and its complement. The chapter also addresses how to determine if outcomes are equally likely in various scenarios. These solutions are designed to help students grasp the core principles of probability, build confidence in solving problems, and prepare effectively for their board examinations by offering step-by-step guidance and reinforcing key concepts.
Quick info
| Board | CBSE |
|---|---|
| Class | Class 10 |
| Subject | Mathematics |
| Session | 2026 |
| Language | English |
| Type | NCERT Solutions |
| Chapter | Chapter 15: Probability |
Chapter summary
Chapter 15 of the NCERT Class 10 Mathematics textbook focuses on Probability. This section provides solutions for exercises that introduce the basic concepts of probability. It covers the definition of probability, the range of probability values (0 to 1), and the distinction between impossible and sure events. The exercises also explore the concept of equally likely outcomes and their application in real-world scenarios like coin tosses. Students will learn to complete statements related to probability axioms and calculate the probability of complementary events.
Learning outcomes
- Understand the fundamental definition of probability.
- Identify and differentiate between impossible and sure events.
- Determine if outcomes of an experiment are equally likely.
- Apply the formula for the probability of complementary events.
- Recall the range of possible values for the probability of an event.
Topics covered
Paper topics
- Introduction to Probability
- Elementary Events
- Equally Likely Outcomes
- Impossible Events
- Sure Events (Certain Events)
- Probability of an Event
- Range of Probability
- Complementary Events
- Coin Toss
- Football Game Decision
Important topics
- Definition and Range of Probability
- Impossible and Sure Events
- Equally Likely Outcomes
- Complementary Events P(E) + P(not E) = 1
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Questions and Solutions
Question 1
(i) The probability of an event that cannot happen is _____. Such an event is called _____.
(ii) The probability of an event that is certain to happen is _____.
(iii) Such an event is called _____.
(iv) The sum of the probabilities of all the elementary events of an experiment is _____.
(v) The probability of an event is greater than or equal to _____ and less than or equal to _____.
The statements are completed based on the fundamental axioms of probability:
(i) The probability of an event that cannot happen is 0. Such an event is called an impossible event.
(ii) The probability of an event that is certain to happen is 1.
(iii) Such an event is called a sure event or a certain event.
(iv) The sum of the probabilities of all the elementary events of an experiment is 1.
(v) The probability of an event is greater than or equal to 0 and less than or equal to 1.
Question 2
(i) A driver attempts to start a car. The car starts or does not start.
(ii) A player attempts to shoot a basketball. She/he shoots or misses the shot.
(iii) A trial is made to answer a true-false question. The answer is right or wrong.
(iv) A baby is born. It is a boy or a girl.
Outcomes are considered equally likely if each outcome has the same probability of occurring. Let's analyze each case:
(i) A driver attempts to start a car. The car starts or does not start.
This is not an equally likely event. Whether the car starts depends on various factors like the car's condition, fuel, battery, etc. The probability of the car starting is not necessarily equal to the probability of it not starting.
(ii) A player attempts to shoot a basketball. She/he shoots or misses the shot.
This is not an equally likely event. The outcome depends heavily on the player's skill, practice, and the specific situation. A skilled player might have a higher probability of making the shot than missing it.
(iii) A trial is made to answer a true-false question. The answer is right or wrong.
This is an equally likely event. Assuming the student has no prior knowledge and is guessing randomly, there are two possible outcomes (right or wrong), and each has an equal chance of occurring.
(iv) A baby is born. It is a boy or a girl.
This is generally considered an equally likely event in basic probability contexts. While there might be slight statistical variations in birth rates, for practical purposes and theoretical understanding, the birth of a boy and the birth of a girl are treated as having equal probabilities.
Question 3
Why is tossing a coin considered to be a fair way of deciding which team should get the ball at the beginning of a football game?
Tossing a coin is considered a fair method because it has only two possible outcomes: heads or tails. For a fair coin, these two outcomes are equally likely, meaning each has a probability of 1/2. Since both outcomes have an equal chance of occurring, neither outcome is favored, making it a random and unbiased way to make a decision.
Question 4
Which of the following cannot be the probability of an event?
(A) (B) -1.5 (C) 15% (D) 0.7
The probability of any event, P(E), must satisfy the condition $0 \le P(E) \le 1$. Let's examine each option:
(A) = 1. This is a valid probability.
(B) -1.5. This value is negative, which is outside the valid range [0, 1]. Therefore, it cannot be the probability of an event.
(C) 15%. Converting this to a decimal gives 0.15, which is within the valid range [0, 1].
(D) 0.7. This value is between 0 and 1, so it is a valid probability.
Thus, -1.5 cannot be the probability of an event.
The correct option is (B).
Question 5
If , what is the probability of 'not E'?
We know that for any event E, the sum of the probability of the event occurring and the probability of the event not occurring is always 1. This can be written as:
We are given that . We need to find .
Substituting the given value into the formula:
To find , we subtract 0.05 from both sides of the equation:
Therefore, the probability of 'not E' is 0.95.
Common mistakes
- Confusing impossible events (probability 0) with events that have a low probability.
- Incorrectly assuming all outcomes are equally likely without justification.
- Errors in calculating the probability of a complementary event.
- Stating probabilities outside the valid range of 0 to 1.
Revision tips
- Memorize the basic axioms of probability, especially P(E) + P(not E) = 1.
- Practice identifying whether outcomes are equally likely for different experiments.
- Ensure you understand the difference between impossible events and sure events.
- Review the range of probability values (0 to 1) and apply it to check answers.
Practice MCQs
Q1. What is the sum of probabilities of all elementary events of an experiment?
Explanation: The sum of the probabilities of all the elementary events of an experiment is always equal to 1, representing the certainty that one of these outcomes must occur.
Q2. Which of the following cannot be the probability of an event?
Explanation: The probability of any event must be between 0 and 1, inclusive. A negative value like -1.5 is outside this range and therefore cannot be a probability.
Q3. If P(E) = 0.05, what is the probability of 'not E'?
Explanation: The probability of an event not occurring, P(not E), is calculated as 1 - P(E). So, 1 - 0.05 = 0.95.
Q4. The probability of an event that is certain to happen is:
Explanation: An event that is certain to happen is called a sure event, and its probability is always 1.
Q5. A baby is born. Is it a boy or a girl? Are these equally likely outcomes?
Explanation: While biological factors might slightly influence the probability, for the purpose of basic probability, the birth of a boy or a girl are considered equally likely outcomes as there are two distinct possibilities.
Frequently asked questions
What is the basic formula for the probability of an event?
The probability of an event E is defined as the ratio of the number of favorable outcomes to the total number of possible outcomes, provided all outcomes are equally likely. Mathematically, P(E) = (Number of favorable outcomes) / (Total number of possible outcomes).
What is the difference between an impossible event and a sure event?
An impossible event is an event that cannot happen, and its probability is 0. A sure event (or certain event) is an event that is guaranteed to happen, and its probability is 1.
What does it mean for outcomes to be 'equally likely'?
Outcomes are equally likely if each outcome has the same chance or probability of occurring. For example, when tossing a fair coin, 'heads' and 'tails' are equally likely outcomes.
How do you find the probability of 'not E' if you know the probability of event E?
The probability of an event 'not E' (the complement of E) is found using the formula P(not E) = 1 - P(E). This is because an event either happens or it does not happen, and the sum of these probabilities is 1.
What is the range for the probability of any event?
The probability of any event must always be greater than or equal to 0 and less than or equal to 1. That is, 0 ≤ P(E) ≤ 1.
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