CBSE Class 9 Mathematics Chapter 15 Probability NCERT Solutions

NCERT Solutions PDF Class 9 PDF

This chapter introduces the fundamental concepts of Probability for Class 9 students, aligning with the CBSE curriculum. The NCERT Solutions provide clear, step-by-step explanations for calculating the probability of events based on experimental data. Key topics include understanding the definition of probability, determining the number of favorable outcomes and total possible outcomes, and applying these to real-world scenarios like coin tosses, family structures, and birth months. These solutions are designed to help students grasp the core principles of probability, build confidence in solving related problems, and prepare effectively for their examinations by offering a reliable resource for practice and revision.

Quick info

BoardCBSE
ClassClass 9
SubjectMathematics
Session2026
LanguageEnglish
TypeNCERT Solutions
ChapterChapter 15: Probability

Chapter summary

Chapter 15 of the NCERT Class 9 Mathematics textbook focuses on Probability. The provided solutions cover exercises that involve calculating the probability of simple events based on given data. Students will learn to identify favorable outcomes and total outcomes from various experimental situations, such as cricket matches, family demographics, birth months, and coin tosses. The solutions emphasize the empirical approach to probability and include verification of the sum of probabilities for exhaustive events.

Learning outcomes

  • Understand the basic definition of probability as the ratio of favorable outcomes to total outcomes.
  • Calculate the probability of an event occurring based on experimental data.
  • Determine the number of favorable outcomes and total possible outcomes from given scenarios.
  • Apply probability concepts to real-world examples like coin tosses and birth months.
  • Verify that the sum of probabilities of all possible outcomes is equal to 1.

Topics covered

Paper topics

  • Introduction to Probability
  • Experimental Probability
  • Calculating Probability
  • Favorable Outcomes
  • Total Outcomes
  • Probability of an Event
  • Real-world Applications of Probability
  • Data Analysis for Probability
  • Coin Toss Experiments
  • Birth Month Data Analysis
  • Family Demographics and Probability
  • Sum of Probabilities

Important topics

  • Definition of Experimental Probability
  • Calculating Probability from Frequency Data
  • Identifying Favorable and Total Outcomes
  • Application of Probability in Real-World Scenarios
  • Verification of Sum of Probabilities

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Questions and Solutions

Question 1

In a cricket match, a batswoman hits a boundary 6 times out of 30 balls she plays. Find the probability that she did not hit a boundary.
Solution:

The total number of balls played by the batswoman is given as 30.

The number of times she hit a boundary is 6.

To find the number of balls in which she did not hit a boundary, we subtract the number of boundaries hit from the total number of balls played:

Number of balls without a boundary = Total balls - Number of boundaries

30 - 6 = 24

The probability of an event is calculated as the ratio of the number of favorable outcomes to the total number of possible outcomes.

In this case, the favorable outcome is the event that the batswoman did not hit a boundary.

P(she did not hit a boundary) = \frac{\text{Number of balls without a boundary}}{\text{Total number of balls played}}

P(\text{not hit boundary}) = \frac{24}{30}

Simplifying the fraction:

\frac{24}{30} = \frac{4 \times 6}{5 \times 6} = \frac{4}{5}

Therefore, the probability that the batswoman did not hit a boundary is \frac{4}{5}.

Question 2

1500 families with 2 children were selected randomly, and the following data were recorded:

Number of girls in a family: 0, 1, 2

Number of families: 211 (for 0 girls), 814 (for 1 girl), 475 (for 2 girls)

Compute the probability of a family, chosen at random, having:

  1. 2 girls
  2. 1 girl
  3. No girl

Also check whether the sum of these probabilities is 1.

Solution:

The total number of families selected is 1500.

We need to compute the probability for each case:

  1. Probability of a family having 2 girls:

    Number of families with 2 girls = 475

    P(2 girls) = \frac{\text{Number of families with 2 girls}}{\text{Total number of families}} = \frac{475}{1500}

    Simplifying the fraction:

    \frac{475}{1500} = \frac{19 \times 25}{60 \times 25} = \frac{19}{60}

  2. Probability of a family having 1 girl:

    Number of families with 1 girl = 814

    P(1 girl) = \frac{\text{Number of families with 1 girl}}{\text{Total number of families}} = \frac{814}{1500}

    Simplifying the fraction:

    \frac{814}{1500} = \frac{407 \times 2}{750 \times 2} = \frac{407}{750}

  3. Probability of a family having no girl (0 girls):

    Number of families with no girl = 211

    P(no girl) = \frac{\text{Number of families with no girl}}{\text{Total number of families}} = \frac{211}{1500}

    This fraction is already in its simplest form.

Checking the sum of these probabilities:

The sum of the probabilities of all possible outcomes should be 1.

Sum = P(2 girls) + P(1 girl) + P(no girl)

Sum = \frac{19}{60} + \frac{407}{750} + \frac{211}{1500}

To add these fractions, we find a common denominator, which is 1500.

Sum = \frac{19 \times 25}{60 \times 25} + \frac{407 \times 2}{750 \times 2} + \frac{211}{1500}

Sum = \frac{475}{1500} + \frac{814}{1500} + \frac{211}{1500}

Sum = \frac{475 + 814 + 211}{1500} = \frac{1500}{1500} = 1

The sum of the probabilities is indeed 1, as expected.

Question 3

In a particular section of Class IX, 40 students were asked about the months of their birth and the following graph was prepared for the data so obtained. Find the probability that a student of the class was born in August.

(Note: The graph shows the number of students born in each month. The bar for August indicates 6 students.)

Solution:

The total number of students in the class is given as 40.

From the provided graph (or data associated with it), the number of students who were born in August is 6.

The probability of an event is the ratio of the number of favorable outcomes to the total number of possible outcomes.

Here, the favorable outcome is a student being born in August.

P(student born in August) = \frac{\text{Number of students born in August}}{\text{Total number of students considered}}

P(\text{born in August}) = \frac{6}{40}

Simplifying the fraction:

\frac{6}{40} = \frac{3 \times 2}{20 \times 2} = \frac{3}{20}

Thus, the probability that a student of the class was born in August is \frac{3}{20}.

Question 4

Three coins are tossed simultaneously 200 times with the following frequencies of different outcomes:

Outcome: 3 heads, 2 heads, 1 head, No head (0 heads)

Frequency: 23 (for 3 heads), 72 (for 2 heads), 28 (for 1 head), 77 (for 0 heads)

If the three coins are simultaneously tossed again, compute the probability of 2 heads coming up.

Solution:

The experiment of tossing three coins simultaneously was conducted 200 times.

The frequency of obtaining exactly 2 heads is given as 72.

The probability of an event is calculated using the experimental data as the ratio of the frequency of the event to the total number of trials.

The event of interest is getting exactly 2 heads.

P(2 heads) = \frac{\text{Frequency of getting 2 heads}}{\text{Total number of times the coins were tossed}}

P(\text{2 heads}) = \frac{72}{200}

Simplifying the fraction:

\frac{72}{200} = \frac{36 \times 2}{100 \times 2} = \frac{36}{100} = \frac{9 \times 4}{25 \times 4} = \frac{9}{25}

Therefore, the probability of getting 2 heads when the three coins are tossed again is \frac{9}{25}.

Common mistakes

  • Incorrectly identifying the total number of possible outcomes.
  • Miscounting the number of favorable outcomes for a specific event.
  • Errors in simplifying fractions when calculating probabilities.
  • Confusing experimental probability with theoretical probability (though this chapter focuses on experimental).

Revision tips

  • Review the definition of probability and its formula thoroughly.
  • Practice identifying 'favorable outcomes' and 'total outcomes' in each problem.
  • Ensure all fractions are simplified correctly to present the probability in its simplest form.
  • Work through each example and exercise solution to understand the step-by-step calculation process.

Practice MCQs

Q1. What is the probability of an event that cannot occur?

Q2. If a batswoman hits a boundary 6 times out of 30 balls, what is the probability she did NOT hit a boundary?

Q3. In a survey of 1500 families, 475 had 2 girls. What is the probability of a randomly chosen family having 2 girls?

Q4. If 40 students were surveyed about their birth months and 6 were born in August, what is the probability of a student being born in August?

Q5. When three coins are tossed, what is the probability of getting exactly 2 heads, based on an experiment where it occurred 72 times out of 200 tosses?

Frequently asked questions

What is the main focus of Chapter 15: Probability in Class 9 Maths?

Chapter 15 focuses on understanding and calculating experimental probability based on observed data from various experiments like coin tosses, birth months, etc.

How is probability calculated in this chapter?

Probability is calculated as the ratio of the number of favorable outcomes to the total number of trials or observations.

What does 'favorable outcome' mean in probability?

A favorable outcome is the specific result or event that you are interested in calculating the probability for.

What is the total number of outcomes in the context of these NCERT solutions?

The total number of outcomes refers to the total number of times an experiment was conducted or the total number of data points collected.

How can these NCERT solutions help students prepare for exams?

These solutions provide clear, step-by-step methods to solve probability problems, helping students understand the concepts and practice applying them, which is crucial for exam preparation.

Are these solutions based on theoretical or experimental probability?

These solutions primarily focus on experimental probability, which is derived from the results of actual experiments or observations.

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