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NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.1 PDF

NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.1 has been provided here. Students can refer to these solutions before their examination for better understanding.
authorImageNeha Tanna21 Jan, 2025
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NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.1

NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.1: The NCERT Solutions for Class 10 Maths Chapter 13 - Statistics (Exercise 13.1) provide comprehensive answers to problems related to data handling and representation. This exercise focuses on calculating measures of central tendency, including mean, median, and mode, for grouped and ungrouped data.

The solutions explain concepts clearly with step-by-step methods, enhancing understanding and problem-solving skills. These solutions help students interpret and analyze data effectively, a crucial skill in various real-life applications. They align with the NCERT syllabus, making them ideal for exam preparation, ensuring accuracy, and helping students score well by building a strong foundation in statistics.

NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.1 Overview

The NCERT Solutions for Class 10 Maths Chapter 13 - Statistics (Exercise 13.1) are essential for understanding and applying statistical concepts effectively. This exercise introduces measures of central tendency, including mean, median, and mode, enabling students to analyze and interpret data systematically. The solutions provide clear, step-by-step explanations, making it easier to solve problems and strengthen foundational knowledge. These solutions are crucial for exam preparation as they align with the NCERT syllabus and address all key concepts. By mastering these techniques, students develop analytical skills applicable in academics and real-world situations, ensuring a strong base in data interpretation and mathematics.

NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.1 PDF Download

The NCERT Solutions for Class 10 Maths Chapter 13 - Statistics (Exercise 13.1) are vital for mastering statistical concepts like mean, median, and mode . These solutions simplify complex calculations with step-by-step explanations, helping students build a strong foundation in data interpretation. Aligned with the NCERT syllabus, they are crucial for exam preparation and enhance problem-solving skills. Understanding these concepts fosters analytical thinking, essential for academic success and practical applications.

NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.1 PDF Download

NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.1 Statistics

1. A survey was conducted by a group of students as a part of their environment awareness program, in which they collected the following data regarding the number of plants in 20 houses in a locality. Find the mean number of plants per house.

Number of Plants 0-2 2-4 4-6 6-8 8-10 10-12 12-14
Number of Houses 1 2 1 5 6 2 3

Which method did you use for finding the mean, and why?

Solution:

To find the mean value, we will use the direct method because the numerical value of f i and x i are small. Find the midpoint of the given interval using the formula. Midpoint (x i ) = (upper limit + lower limit)/2
No. of plants

(Class interval)

No. of houses

Frequency (f i )

Mid-point (x i ) f i x i
0-2 1 1 1
2-4 2 3 6
4-6 1 5 5
6-8 5 7 35
8-10 6 9 54
10-12 2 11 22
12-14 3 13 39
Sum f i = 20 Sum f i x i = 162
The formula to find the mean is: Mean = x̄ = ∑f i x i /∑f i = 162/20 = 8.1 Therefore, the mean number of plants per house is 8.1.

2. Consider the following distribution of daily wages of 50 workers of a factory.

Daily wages (in Rs.) 500-520 520-540 540-560 560-580 580-600
Number of workers 12 14 8 6 10

Find the mean daily wages of the workers of the factory by using an appropriate method .

Solution: Find the midpoint of the given interval using the formula. Midpoint (x i ) = (upper limit + lower limit)/2 In this case, the value of mid-point (x i ) is very large, so let us assume the mean value, a = 550. Class interval (h) = 20 So, u i = (x i – a)/h u i = (x i – 550)/20 Substitute and find the values as follows:
Daily wages

(Class interval)

Number of workers

frequency (f i )

Mid-point (x i ) u i = (x i – 550)/20 f i u i
500-520 12 510 -2 -24
520-540 14 530 -1 -14
540-560 8 550 = a 0 0
560-580 6 570 1 6
580-600 10 590 2 20
Total Sum f i = 50 Sum f i u i = -12
So, the formula to find out the mean is: Mean = x̄ = a + h(∑f i u i /∑f i ) = 550 + [20 × (-12/50)] = 550 – 4.8 = 545.20 Thus, mean daily wage of the workers = Rs. 545.20

3. The following distribution shows the daily pocket allowance of children of a locality. The mean pocket allowance is Rs 18. Find the missing frequency f.

Daily Pocket Allowance(in c) 11-13 13-15 15-17 17-19 19-21 21-23 23-35
Number of children 7 6 9 13 f 5 4
Solution: To find out the missing frequency, use the mean formula. Given, mean x̄ = 18
Class interval Number of children (f i ) Mid-point (x i ) f i x i
11-13 7 12 84
13-15 6 14 84
15-17 9 16 144
17-19 13 18 234
19-21 f 20 20f
21-23 5 22 110
23-25 4 24 96
Total f i = 44+f Sum f i x i = 752+20f
The mean formula is Mean = x̄ = ∑f i x i /∑f i = (752 + 20f)/ (44 + f) Now substitute the values and equate to find the missing frequency (f) ⇒ 18 = (752 + 20f)/ (44 + f) ⇒ 18(44 + f) = (752 + 20f) ⇒ 792 + 18f = 752 + 20f ⇒ 792 + 18f = 752 + 20f ⇒ 792 – 752 = 20f – 18f ⇒ 40 = 2f ⇒ f = 20 So, the missing frequency, f = 20.

4. Thirty women were examined in a hospital by a doctor, and the number of heartbeats per minute were recorded and summarised as follows. Find the mean heartbeats per minute for these women, choosing a suitable method.

Number of heart beats per minute 65-68 68-71 71-74 74-77 77-80 80-83 83-86
Number of women 2 4 3 8 7 4 2
Solution: From the given data, let us assume the mean as a = 75.5 x i = (Upper limit + Lower limit)/2 Class size (h) = 3 Now, find the u i and f i u i as follows:
Class Interval Number of women (f i ) Mid-point (x i ) u i = (x i – 75.5)/h f i u i
65-68 2 66.5 -3 -6
68-71 4 69.5 -2 -8
71-74 3 72.5 -1 -3
74-77 8 75.5 = a 0 0
77-80 7 78.5 1 7
80-83 4 81.5 2 8
83-86 2 84.5 3 6
Sum f i = 30 Sum f i u i = 4
Mean = x̄ = a + h(∑f i u i /∑f i ) = 75.5 + 3 × (4/30) = 75.5 + (4/10) = 75.5 + 0.4 = 75.9 Therefore, the mean heart beats per minute for these women is 75.9

5. In a retail market, fruit vendors were selling mangoes kept in packing boxes. These boxes contained varying number of mangoes. The following was the distribution of mangoes according to the number of boxes.

Number of mangoes 50-52 53-55 56-58 59-61 62-64
Number of boxes 15 110 135 115 25

Find the mean number of mangoes kept in a packing box. Which method of finding the mean did you choose?

Solution: The given data is not continuous, so we add 0.5 to the upper limit and subtract 0.5 from the lower limit as the gap between two intervals is 1. Here, assumed mean (a) = 57 Class size (h) = 3 Here, the step deviation is used because the frequency values are big.
Class Interval Number of boxes (f i ) Mid-point (x i ) u i = (x i – 57)/h f i u i
49.5-52.5 15 51 -2 -30
52.5-55.5 110 54 -1 -110
55.5-58.5 135 57 = a 0 0
58.5-61.5 115 60 1 115
61.5-64.5 25 63 2 50
Sum f i = 400 Sum f i u i = 25
The formula to find out the Mean is: Mean = x̄ = a + h(∑f i u i /∑f i ) = 57 + 3(25/400) = 57 + 0.1875 = 57.19 Therefore, the mean number of mangoes kept in a packing box is 57.19

6. The table below shows the daily expenditure on food of 25 households in a locality.

Daily expenditure(in c) 100-150 150-200 200-250 250-300 300-350
Number of households 4 5 12 2 2

Find the mean daily expenditure on food by a suitable method.

Solution: Find the midpoint of the given interval using the formula. Midpoint (x i ) = (upper limit + lower limit)/2 Let us assume the mean (a) = 225 Class size (h) = 50
Class Interval Number of households (f i ) Mid-point (x i ) d i = x i – A u i = d i /50 f i u i
100-150 4 125 -100 -2 -8
150-200 5 175 -50 -1 -5
200-250 12 225 = a 0 0 0
250-300 2 275 50 1 2
300-350 2 325 100 2 4
Sum f i = 25 Sum f i u i = -7
Mean = x̄ = a + h(∑f i u i /∑f i ) = 225 + 50(-7/25) = 225 – 14 = 211 Therefore, the mean daily expenditure on food is 211.

7. To find out the concentration of SO 2 in the air (in parts per million, i.e., ppm), the data was collected for 30 localities in a certain city and is presented below:

Concentration of SO 2 ( in ppm) Frequency
0.00 – 0.04 4
0.04 – 0.08 9
0.08 – 0.12 9
0.12 – 0.16 2
0.16 – 0.20 4
0.20 – 0.24 2

Find the mean concentration of SO 2 in the air.

Solution: To find out the mean, first find the midpoint of the given frequencies as follows:
Concentration of SO 2 (in ppm) Frequency (f i ) Mid-point (x i ) f i x i
0.00-0.04 4 0.02 0.08
0.04-0.08 9 0.06 0.54
0.08-0.12 9 0.10 0.90
0.12-0.16 2 0.14 0.28
0.16-0.20 4 0.18 0.72
0.20-0.24 2 0.22 0.44
Total Sum f i = 30 Sum (f i x i ) = 2.96
The formula to find out the mean is Mean = x̄ = ∑f i x i /∑f i = 2.96/30 = 0.099 ppm Therefore, the mean concentration of SO 2 in the air is 0.099 ppm.

8. A class teacher has the following absentee record of 40 students of a class for the whole term. Find the mean number of days a student was absent.

Number of days 0-6 6-10 10-14 14-20 20-28 28-38 38-40
Number of students 11 10 7 4 4 3 1
Solution: Find the midpoint of the given interval using the formula. Midpoint (x i ) = (upper limit + lower limit)/2
Class interval Frequency (f i ) Mid-point (x i ) f i x i
0-6 11 3 33
6-10 10 8 80
10-14 7 12 84
14-20 4 17 68
20-28 4 24 96
28-38 3 33 99
38-40 1 39 39
Sum f i = 40 Sum f i x i = 499
The mean formula is, Mean = x̄ = ∑f i x i /∑f i = 499/40 = 12.48 days Therefore, the mean number of days a student was absent = 12.48.

9. The following table gives the literacy rate (in percentage) of 35 cities. Find the mean

literacy rate.

Literacy rate (in %) 45-55 55-65 65-75 75-85 85-98
Number of cities 3 10 11 8 3
Solution: Find the midpoint of the given interval using the formula. Midpoint (x i ) = (upper limit + lower limit)/2 In this case, the value of mid-point (x i ) is very large, so let us assume the mean value, a = 70. Class interval (h) = 10 So, u i = (x i – a)/h u i = (x i – 70)/10 Substitute and find the values as follows:
Class Interval Frequency (f i ) (x i ) u i = (x i – 70)/10 f i u i
45-55 3 50 -2 -6
55-65 10 60 -1 -10
65-75 11 70 = a 0 0
75-85 8 80 1 8
85-95 3 90 2 6
Sum f i = 35 Sum f i u i = -2
So, Mean = x̄ = a + (∑f i u i /∑f i ) × h = 70 + (-2/35) × 10 = 69.43 Therefore, the mean literacy part = 69.43%

Benefits of Using NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.1

Conceptual Clarity : Simplifies complex topics like mean, median, and mode with step-by-step explanations.

Exam Preparation : Aligned with the NCERT syllabus, ensuring comprehensive coverage of important questions.

Efficient Revision : Provides quick and accurate solutions, saving time during last-minute study.

Error-Free Solutions : Expertly designed answers guarantee accuracy and reliability.

Practical Application : Enhances data interpretation and analytical skills, useful in academics and real-life scenarios.

Boosts Confidence : Regular practice with these solutions improves understanding and performance in exams.

NCERT Solutions for Class 10 Maths Chapter 13 Exercise 13.1 FAQs

What are 5 applications of statistics?

Statistics are used in business to detect market trends and sales results, in education to determine teaching method effectiveness, in government to detect changes in population demographics and effectiveness of public policy, and in sports to examine player and team successes and capabilities.

What are the two main types of statistics?

Descriptive and Inferential Statistics.

What are the 5 main statistics?

A five-number summary simply consists of the smallest data value, the first quartile, the median, the third quartile, and the largest data value. A box plot is a graphical device based on a five-number summary.

What is good knowledge of statistics?

Statistical knowledge helps to choose the proper method of collecting the data and employ those samples in the correct analysis process in order to effectively produce the results. In short, statistics is a crucial process which helps to make the decision based on the data.
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