CBSE Class 10 Mathematics Chapter 15 Probability NCERT Solutions
This comprehensive guide provides NCERT Solutions for Class 10 Mathematics, Chapter 15 on Probability. It covers fundamental concepts such as the definition of probability, the relationship between the probability of an event and its complement, and the properties of probabilities for elementary events. The solutions explain why certain outcomes are equally likely, using examples like coin tosses and births. It also clarifies the range of probability values (0 to 1) and identifies impossible probabilities. This resource is designed to help students grasp the core principles of probability, solve related problems accurately, and prepare effectively for their board examinations by offering clear, step-by-step explanations.
Quick info
| Board | CBSE |
|---|---|
| Class | Class 10 |
| Subject | Mathematics |
| Session | 2026 |
| Language | English |
| Type | NCERT Solutions |
| Chapter | Chapter 30 |
Chapter summary
Chapter 15 of the NCERT Class 10 Mathematics textbook focuses on Probability. These solutions cover the basics, including defining probability, understanding sure and impossible events, and the sum of probabilities of elementary events. It addresses the conditions for equally likely outcomes and reinforces that probability values must lie between 0 and 1, inclusive. The exercises provide practice in applying these foundational concepts.
Learning outcomes
- Understand the definition and basic principles of probability.
- Identify and explain equally likely outcomes in various experiments.
- Calculate the probability of complementary events.
- Recognize the range of possible probability values (0 to 1).
- Distinguish between sure events, impossible events, and other events.
- Solve problems related to basic probability concepts.
Topics covered
Paper topics
- Introduction to Probability
- Elementary Events
- Equally Likely Outcomes
- Sure Events
- Impossible Events
- Probability Range (0 to 1)
- Complementary Events
- Coin Toss Experiments
- Basketball Shooting
- True-False Questions
- Birth of a Baby
- Starting a Car
Important topics
- Definition of Probability
- Range of Probability Values
- Complementary Events
- Equally Likely Outcomes
- Sure and Impossible Events
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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 fundamental relationship between the probability of an event and the probability of its complement is key here. Let P(E) be the probability of an event E, and P(E') be the probability of the event 'not E' (the complement of E).
The statement Probability of an event E + Probability of the event 'not E' = 1.
Now, let's complete the statements:
(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 always 1.
(v) The probability of an event is greater than or equal to 0 and less than or equal to 1. This means \(0 \le P(E) \le 1\).
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.
Equally likely outcomes mean that each outcome has the same probability of occurring. Let's analyze each case:
(i) Starting a car: This is not an equally likely event. Whether the car starts or not depends on many factors like the car's condition, fuel, battery, etc. The probability of starting and not starting is not necessarily equal.
(ii) Shooting a basketball: This is not an equally likely event. The outcome depends heavily on the player's skill, practice, and the specific situation. Missing a shot might be more probable than making it, or vice versa, depending on the player.
(iii) Answering a true-false question: This is an equally likely event. Assuming the person does not know the answer and guesses randomly, there are two possibilities: right or wrong, each with a probability of 1/2.
(iv) A baby is born: This is generally considered an equally likely event. While biological factors can slightly influence the probability, for practical purposes in probability problems, the birth of a boy or a girl is treated as having equal likelihood (probability of 1/2 for each).
Question 3
Tossing a coin is considered a fair method because it has only two possible outcomes: heads or tails. When a fair coin is tossed, both outcomes have an equal probability of occurring (each with a probability of 1/2). This means neither outcome is favored, making the result unpredictable and fair for deciding which team gets the ball.
Question 4
(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) : This simplifies to 1, which is a valid probability (for a sure event).
(B) -1.5: This value is negative and less than 0. Probabilities cannot be negative.
(C) 15%: This can be written as or 0.15. This value is between 0 and 1, so it is a valid probability.
(D) 0.7: This value is between 0 and 1, so it is a valid probability.
Therefore, -1.5 cannot be the probability of an event.
The correct option is (B).
Question 5
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 P(E) = 0.05.
Substituting the given value into the formula:
To find P(not E), we subtract 0.05 from both sides of the equation:
Thus, the probability of 'not E' is 0.95.
Common mistakes
- Assuming all outcomes are equally likely without justification.
- Incorrectly calculating the probability of a 'not E' event.
- Confusing the range of probability values (e.g., accepting negative probabilities or probabilities greater than 1).
- Misinterpreting the sum of probabilities of all elementary events.
Revision tips
- Memorize the formula for the probability of a 'not E' event: P(E') = 1 - P(E).
- Clearly list all possible outcomes for each experiment before determining if they are equally likely.
- Always check if the calculated probability falls within the range of 0 to 1.
- Understand the definitions of sure events (probability 1) and impossible events (probability 0).
Practice MCQs
Q1. What is the probability of an event that is certain to happen?
Explanation: A sure event, or an event that is certain to happen, always has a probability of 1.
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. -1.5 falls outside this range.
Q3. If P(E) = 0.05, what is the probability of 'not E'?
Explanation: The probability of 'not E' is calculated as 1 - P(E). So, 1 - 0.05 = 0.95.
Q4. The sum of the probabilities of all the elementary events of an experiment is:
Explanation: According to the axioms of probability, the sum of probabilities of all possible elementary outcomes of an experiment is always equal to 1.
Q5. Tossing a coin is considered a fair way to decide which team gets the ball because:
Explanation: A coin toss is fair because the two possible outcomes, heads and tails, have an equal chance of occurring, making the result unpredictable.
Frequently asked questions
What is Probability in Class 10 Maths?
Probability is a measure of the likelihood of an event occurring. In Class 10, it focuses on basic concepts like equally likely outcomes, sure events (probability 1), impossible events (probability 0), and the probability of complementary events.
What are equally likely outcomes?
Equally likely outcomes are those that have the same chance of occurring. For example, when tossing a fair coin, getting a head or a tail are equally likely outcomes.
What is the probability of an impossible event?
The probability of an impossible event, which cannot happen, is 0.
What is the probability of a sure event?
A sure event, or an event that is certain to happen, has a probability of 1.
How do you find the probability of 'not E' if P(E) is known?
The probability of the event 'not E' (also denoted as P(E')) is found using the formula P(E') = 1 - P(E).
Can the probability of an event be negative?
No, the probability of any event must always be between 0 and 1, inclusive. It cannot be negative or greater than 1.
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