STATISTICS-Exercise 13.3

Statistics is one of the most practical and scoring chapters in the Class X Mathematics syllabus, as it bridges numerical computation with real-world interpretation of data. The textbook exercise solutions for Chapter 13, Statistics, are designed to help learners systematically master the calculation and analysis of data presented in grouped frequency distributions. These solutions focus not only on obtaining correct numerical answers but also on developing a clear understanding of statistical reasoning and methodology. The exercises guide students through essential concepts such as mean, median, and mode of grouped data, along with their respective formulae and stepwise application. Special emphasis is placed on structured presentation, correct identification of class intervals, cumulative frequencies, and the selection of appropriate methods such as the direct method, assumed mean method, and step-deviation method. Each solution is presented in a logical, exam-ready format to help students avoid common errors and gain confidence in problem-solving. These textbook exercise solutions serve as a reliable reference for board examination preparation, classroom revision, and self-study. By following these worked examples, learners can strengthen conceptual clarity, improve calculation accuracy, and develop the ability to interpret statistical results meaningfully—skills that are vital not only for examinations but also for practical data analysis in everyday contexts.

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December 19, 2025  |  By Academia Aeternum

STATISTICS-Exercise 13.3

Maths - Exercise

Q1. The following frequency distribution gives the monthly consumption of electricity of 68 consumers of a locality. Find the median, mean and mode of the data and compare them.

Monthly consumption (in units) Number of consumers
65-85 4
85-105 5
105-125 13
125-145 20
145-165 14
165-185 4

Solution

Lets us put the data in a frequency distribution table

Class Interval \(f_i\) \(cf\) \(x_i\) \(d_i\) \(f_id_i\)
65-85 4 4 75 -60 -240
85-105 5 9 95 -40 -200
105-125 13 \((f_0)\) 22 115 -20 -260
125-145 20 \((f_1)\) 42 135 0 0
145-165 14 \((f_2)\) 56 155 20 280
165-185 8 64 175 40 320
185-205 4 68 195 60 240
Total \(\sum{f_i}=68\) \(cf=68\) \(\sum{f_id_i}=140\)

Calculation of Mode
Modal Class = 125-145 (class having maximum frequency)
\(h\) = upper class limit-lower class limit = 85-65 = 20

\(\begin{aligned}l&=125\\ h&=2\\ f_{0}&=13\\ f_{1}&=20\\ f_{2}&=14\end{aligned}\)
Substituting Values in Mode Formula $$\begin{aligned}\text{MODE}&=l+\left( \dfrac{f_{1}-f_{0}}{2f_{1}-f_{0}-}f_{2}\right) h\\\\ &=125+\left( \dfrac{20-13}{2\times 2-13-14}\right) h\\\\ &=125+\left( \dfrac{7}{40-27}\right) \times 20\\\\ &=125+\left( \dfrac{7\times 20}{13}\right) \\\\ &=125+\dfrac{140}{13}\\\\ &=135.76\end{aligned}$$

Calculation of Mean
Assumed mean \(a\) = 135
Substituting value in Mean Formula

$$\begin{aligned}\overline{x}&=a+\left( \dfrac{\sum f_{i}d_{i}}{\sum f_{i}}\right) \\\\ &=135+\left( \dfrac{140}{68}\right) \\\\ &=135+2.05\\\\ &=737.05\end{aligned}$$

Calculation of Median
\(\frac{n}{2}\times 68 = 34\)
Median class = 125-145 (34 lies in this class)
\(cf = 22\) (Cumulative frequency of preceding class)
\(f\) = frequency of median class \(h\) - class size

\(\begin{aligned}\dfrac{n}{2}&=34\\ l&=125\\ cf&=22\\ h&=20\\ f&=20\end{aligned}\) $$\begin{aligned}\text{Median}&=l+\left( \dfrac{\dfrac{n}{2}-cf}{t}\right) \times h\\\\ &=125+\left( \dfrac{34-22}{20}\right) \times 20\\\\ &=125+\left( \dfrac{12\times 20}{20}\right) \\\\ &=125+12\\\\ &=137\end{aligned}$$
Median = 137, Mode = 135.76, Mean = 137.05

Q2. If the median of the distribution given below is 28.5, find the values of x and y.

Class interval Frequency
0-10 5
10-20 \(x\)
20-30 20
30-40 15
40-50 \(y\)
50-60 5
Total 60

Solution

Let us put data in a frequency table
Class interval Frequency \(f\) \(cf\)
0-10 5 \(5\)
10-20 \(x\) \(5+x\)
20-30 20 \(25+x\)
30-40 15 \(40+x\)
40-50 \(y\) \(40+x+y\)
50-60 5 \(45+x+y\)
Total 60 \(45+x+y\)
Median
$$\begin{align}n&=60\\ \dfrac{n}{2}&=\dfrac{60}{2}\\ &=30\\ 45+x+y&=60\\ x+y&=60-45\\ x+y&=15\tag{1}\end{align}$$

Median 28.5 lies in interval 20-30, therefore median class is 20-30
class size \((h)\) = 10

\(\begin{aligned}l&=20\\ h&=10\\ cf&=5+x\\ f&=0\end{aligned}\)

$$\begin{aligned}\text{Median}&=l+\left( \dfrac{n/2-cf}{f}\right) \times h\\\\ 28.5&=20+\left[ \dfrac{30-\left( 5+x\right) }{20}\right] \times 10\\\\ 28.5&=20+\left[ \dfrac{25-x}{2}\right] \\\\ 28.5-20&=\dfrac{25-x}{2}\\\\ 8.5\times 2&=25-x\\\\ 17&=25-x\\\\ x&=25-17\\\\ x&=8\end{aligned}$$

Substituting \(x=8\) in equation-(1)

$$\begin{aligned}x+y&=15\\\\ y&=15-x\\\\ &=15-8\\\\ &=7\\\\ \end{aligned}$$
\(x=8,\ y=7\)

Q3. A life insurance agent found the following data for distribution of ages of 100 policy holders. Calculate the median age, if policies are given only to persons having age 18 years onwards but less than 60 year.

Age (in years) Number of policy holders
Below 20 2
Below 25 6
Below 30 24
Below 35 45
Below 40 78
Below 45 89
Below 50 92
Below 55 98
Below 60 100

Solution

Lets us put the data in frequency table
Class Interval \(f\) \(cf\)
Below 20 2 2
20-25 4 6
25-30 18 24
30-35 21 45
35-40 33 78
40-45 11 89
45-50 3 92
50-55 6 98
55-60 2 100
$$\begin{aligned}\dfrac{n}{2}&=\dfrac{100}{2}\\ &=50\end{aligned}$$

50 lies in class interval of 35-40
therefore median class = 35-40
Class size \((h)\) = 5

\(\begin{aligned}l&=35\\ h&=5\\ cf&=45\\ f&=33\end{aligned}\) $$\begin{aligned}\text{Median}&=l+\left( \dfrac{n/2-cf}{f}\right) \times h\\\\ &=35+\left( \dfrac{50-45}{33}\right) \times 5\\\\ &=35+\left( \dfrac{5\times 5}{33}\right) \\\\ &=35+\dfrac{25}{33}\\\\ &=35+0.76\\\\ &=35.76\end{aligned}$$
Median age of policy holders is 35.76 years

Q4. The lengths of 40 leaves of a plant are measured correct to the nearest millimetre, and the data obtained is represented in the following table :

Find the median length of the leaves.
Length (in mm) Number of leaves
116-126 3
127-135 5
136-144 9
145-153 12
154-162 5
163-171 4
172-180 2

Solution

Class Interval is not continuos, therefore to make it continuous we will subtract 0.5 from lower limit and add 0.5 to upper limit Lets put data in frequency table
Class Interval \(f\) \(cf\)
115.5-126.5 3 3
126.5-135.5 5 8
135.5-144.5 9 17
144.5-153.5 12 29
153.5-162.5 5 34
162.5-171.5 4 38
171.5-180.5 2 40
$$\begin{aligned}\dfrac{n}{2}&=\dfrac{40}{2}\\ &=20\end{aligned}$$

20 lies in the interval 144.5- 153.5
therefore median class = 144.5-153.5
Class size \((h)\) = 9

\(\begin{aligned}l&=144.5\\ h&=9\\ cf&=17\\ f&=12\end{aligned}\) $$\begin{aligned}\text{Median}&=l+\left( \dfrac{n/2-cf}{f}\right) h\\\\ &=144.5+\left( \dfrac{20-17}{12}\right) \times 9\\\\ &=144.5+\left( \dfrac{3}{12}\times 9\right) \\\\ &=144.5+\dfrac{9}{4}\\\\ &=144.5+2.25\\\\ &=146.75\end{aligned}$$

Q5. The following table gives the distribution of the life time of 400 neon lamps :

Runs score Number of batsmen
1500-2000 14
2000-2500 56
2500-3000 60
3000-3500 86
3500-4000 74
4000-4500 62
4500-5000 48
Find the median life time of a lamp.

Solution

Class Interval \(f\) \(cf\)
1500-2000 14 14
2000-2500 56 70
2500-3000 60 130
3000-3500 86 216
3500-4000 74 290
4000-4500 62 352
4500-5000 48 400
$$\begin{aligned}\dfrac{n}{2}=\dfrac{400}{2}\\ =200\end{aligned}$$

200 lies in 3000-3500 class interval
therefore Median class is 3000-3500
Class size \((h)\) = 3500-3000 = 500

\(\begin{aligned}l&=3000\\ h&=500\\ cf&=130\\ f&=86\end{aligned}\) $$\begin{aligned}\text{Median}&=l+\left( \dfrac{n/2-cf}{f}\right) h\\\\ &=3000+\left( \dfrac{200-130}{86}\right) 500\\\\ &=3000+\dfrac{70}{86}\times 500\\\\ &=3000+406.98\\\\ &=3406.98\end{aligned}$$
Median life time of lamp is 3406.98 hours

Q6. 100 surnames were randomly picked up from a local telephone directory and the frequency distribution of the number of letters in the English alphabets in the surnames was obtained as follows:

Number of letters 1-4 4-7 7-10 10-13 13-16 16-19
Number of surnames 6 30 40 16 4 4
Determine the median number of letters in the surnames. Find the mean number of letters in the surnames? Also, find the modal size of the surnames.

Solution

Lets put this data in frequency table
Class Interval \(f_i\) \(cf\) \(x_i\) \(d_i=a-x_i\) \(f_id_i\)
1-4 6 6 2.5 -6 -36
4-7 30 36 5.5 -3 -90
7-10 40 76 8.5 0 0
10-13 16 92 11.5 3 48
13-16 4 96 14.5 6 24
16-19 4 100 15.5 9 36
Total \(\sum{f_i}=100\) \(\sum{f_id_i}=-18\)
Calculation of Median
$$\begin{aligned}\dfrac{n}{2}&=\dfrac{100}{2}\\ &=50\end{aligned}$$

50 lies in the interval of 7-10, hence median class is 7-10
class size \((h)\) = 3

\(\begin{aligned}l&=7\\ h&=3\\ cf&=36\\ f&=40\end{aligned}\) $$\begin{aligned}\text{Median}&=l+\left( \dfrac{n/2-cf}{f}\right) h\\\\ &=7+\left( \dfrac{50-36}{40}\right) 3\\\\ &=7+\dfrac{14}{40}\times 3\\\\ &=7+\dfrac{42}{40}\\\\ &=7+1.05\\\\ &=8.05\end{aligned}$$
Calculation of Mean

Assumed mean \(a\) = 8.5

$$\begin{aligned}\overline{x}&=a+\left( \dfrac{\sum f_{i}d_{i}}{\sum fi}\right) \\ &=8.5+\left( \dfrac{-18}{10}\right) \\ &=8.5-0.18\\ &=8.32\end{aligned}$$
Calculation of Mode

Class interval 7 - 10 is modal class as highest frequency lies in this class
class size \((h)\) = 3

\(\begin{aligned}l&=7\\ f_{0}&=30\\ f_{1}&=40\\ f_{2}&=16\\ h&=3\end{aligned}\) $$\begin{aligned}\text{MODE}&=l+\left( \dfrac{f_{1}-f_{0}}{2f_{1}-f_{0}-f_{2}}\right) \times h\\\\ &=7+\left( \dfrac{40-30}{40\times 2-30-16}\right) \times 3\\\\ &=7+\dfrac{10\times 3}{80-46}\\\\ &=7+\dfrac{30}{34}\\\\ &=7+0.88\\\\ &=7.88\end{aligned}$$

Q7. The distribution below gives the weights of 30 students of a class. Find the median weight of the students.

Weight (in kg) 40-45 45-50 50-55 55-60 60-65 65-70 70-75
Number of students 2 3 8 6 6 3 2

Solution

Lets put these data in frequency table
Class Interval \(f\) \(cf\)
40-45 2 2
45-50 3 5
50-55 8 13
55-60 6 19
60-65 6 25
65-70 3 28
70-75 2 30
$$\begin{aligned}\dfrac{n}{2}&=\dfrac{30}{2}\\ &=15\end{aligned}$$

15 lies in iterral 55-60, it is the median class
class size \((h)\) = 5

\(\begin{aligned}l&=55\\ h&=5\\ cf&=13\\ f&=6\end{aligned}\) $$\begin{aligned}\text{Median}&=l+\left( \dfrac{n/2-cf}{f}\right) h\\\\ &=55+\left( \dfrac{15-13}{6}\right) \times 5\\\\ &=55+\dfrac{2\times 5}{6}\\\\ &=55+1.67\\\\ &=56.67\end{aligned}$$
Median weight is 56.67 kg

Frequently Asked Questions

Statistics is the branch of mathematics that deals with the collection, organisation, presentation, analysis, and interpretation of numerical data.

Statistics helps in understanding trends, making comparisons, predicting outcomes, and taking data-based decisions in real-life situations.

Data refers to numerical information collected from observations, surveys, or experiments for analysis.

Raw data is unorganised data collected directly from a source without any classification or arrangement.

Grouped data is data organised into class intervals to simplify analysis when observations are large in number.

It is a table that shows how often values occur within defined class intervals.

Class intervals are divisions of data into fixed ranges used to group observations.

Class width is the difference between the upper and lower limits of a class interval.

The class mark is the midpoint of a class interval, calculated as \((\text{upper limit} + \text{lower limit})/2\).

Measures of central tendency describe a central or typical value of data, such as mean, median, and mode.

Mean is the average value of grouped data calculated using class marks and frequencies.

\(\bar{x} = \frac{\sum f_i x_i}{\sum f_i}\), where \(x_i\) are class marks and \(f_i\) are frequencies.

It is a method to calculate mean by assuming a convenient value as the mean to simplify calculations.

A short-cut method of finding mean using deviations divided by class width to reduce computation.

It is preferred when class intervals are equal and numbers are large.

Median is the value that divides the data into two equal parts when arranged in order.

The class interval that contains the median value.

\(\text{Median} = l + \left(\frac{\frac{N}{2} - cf}{f}\right)h\)

\(l\): lower limit, \(N\): total frequency, \(cf\): cumulative frequency before median class, \(f\): frequency, \(h\): class width

Mode is the value that occurs most frequently in a data set.

The class interval with the highest frequency.

\(\text{Mode} = l + \left(\frac{f_1 - f_0}{2f_1 - f_0 - f_2}\right)h\)

\(f_1\) is modal class frequency, \(f_0\) preceding frequency, \(f_2\) succeeding frequency.

It is the running total of frequencies in a distribution.

A graphical representation of cumulative frequencies, also called an ogive.

An ogive formed using cumulative frequencies less than the upper class limits.

An ogive drawn using cumulative frequencies greater than the lower class limits.

By plotting both ogives and locating the x-coordinate of their intersection.

They summarise large data sets using a single representative value.

Mean is best for symmetrical distributions.

Median is preferred for skewed distributions.

When identifying the most common value, such as shoe size or popular choice.

Economics, science, medicine, education, population studies, and business analysis.

To analyse results, performance trends, and assessment outcomes.

Numerical problems, formula-based questions, graphical interpretation, and case-study questions.

Errors in tables lead to incorrect calculations and wrong conclusions.

Wrong class marks, incorrect cumulative frequencies, and formula substitution errors.

All major steps with formulas must be clearly shown for full marks.

Yes, for a perfectly symmetrical distribution.

Changing the origin and scale using assumed mean and step deviation.

Drawing conclusions and inferences from analysed data.

Analytical thinking, logical reasoning, and numerical accuracy.

Yes, due to formula-based questions and structured solutions.

Memorise formulas, practice numericals, and avoid calculation mistakes.

It carries significant weightage in the Class X Mathematics examination.

Proper scale, labeling, and accuracy are essential for full marks.

Frequency per unit class width, used in unequal class intervals.

Yes, they help compare distributions visually.

Displaying data using tables, graphs, and curves.

It teaches how data can be analysed logically to draw meaningful conclusions.

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