Solved Examples

NCERT Solutions for Class 10 Maths Chapter 13: Statistics — Free PDF

Complete solutions for mean, median, and mode of grouped data with cumulative frequency curves (ogives).

CBSEClass 10
The SparkEd Authors (IITian & Googler)15 March 202635 min read
NCERT Solutions Class 10 Maths Chapter 13 Statistics — SparkEd

Chapter Overview: Statistics

Chapter 13 of the NCERT Class 10 Maths textbook is one of the most practically important chapters in the entire syllabus. Statistics — the science of collecting, organising, analysing, and interpreting data — is used in every field from business to medicine, from sports to government policy.

In this chapter, you will learn three methods to find the mean of grouped data, a formula for the mode, a formula for the median, and how to draw cumulative frequency curves (ogives) to find the median graphically. These techniques are essential because real-world data almost always comes in grouped form — you rarely have access to every individual data point.

The chapter has 4 exercises covering:
- Exercise 13.1: Mean of grouped data (direct, assumed mean, step deviation methods)
- Exercise 13.2: Mode of grouped data
- Exercise 13.3: Median of grouped data
- Exercise 13.4: Cumulative frequency curves (ogives)

This chapter typically carries 5-8 marks in the CBSE board exam. Mean and median problems are the most frequently tested, often appearing as 3-4 mark questions. Understanding the step deviation method and the median formula thoroughly can make the difference between a good score and a great one.

Key Concepts and Formulas

Before tackling the exercises, let us establish all the important formulas and terminology you need.

Mean of Grouped Data — Three Methods

Direct method:

xˉ=fixifi\bar{x} = \dfrac{\sum f_i x_i}{\sum f_i}

where xix_i is the class mark (midpoint) of each class and fif_i is its frequency. Simple but tedious for large values.

Assumed mean method:

xˉ=a+fidifi\bar{x} = a + \dfrac{\sum f_i d_i}{\sum f_i}

where aa is the assumed mean (usually the class mark of the middle or most frequent class), and di=xiad_i = x_i - a. This reduces the size of numbers you work with.

Step deviation method:

xˉ=a+h×fiuifi\bar{x} = a + h \times \dfrac{\sum f_i u_i}{\sum f_i}

where ui=xiahu_i = \dfrac{x_i - a}{h} and hh is the class width. This is the fastest method when class widths are equal, as uiu_i values are small integers.

Mode of Grouped Data

The modal class is the class with the highest frequency. The mode formula is:

Mode=l+(f1f02f1f0f2)×h\text{Mode} = l + \left(\dfrac{f_1 - f_0}{2f_1 - f_0 - f_2}\right) \times h

where:
- ll = lower limit of the modal class
- f1f_1 = frequency of the modal class
- f0f_0 = frequency of the class just before the modal class
- f2f_2 = frequency of the class just after the modal class
- hh = class width

Important: The modal class is identified by the highest frequency, NOT by the highest cumulative frequency.

Median of Grouped Data

First compute cumulative frequencies, then identify the median class — the class whose cumulative frequency first exceeds n2\dfrac{n}{2}.

Median=l+(n2cff)×h\text{Median} = l + \left(\dfrac{\dfrac{n}{2} - cf}{f}\right) \times h

where:
- ll = lower limit of the median class
- nn = total frequency (fi\sum f_i)
- cfcf = cumulative frequency of the class just before the median class
- ff = frequency of the median class
- hh = class width

Empirical Relationship and Ogives

Empirical relationship: For moderately skewed distributions:

3×Median=Mode+2×Mean3 \times \text{Median} = \text{Mode} + 2 \times \text{Mean}

This can be used to verify your calculations or find one measure from the other two.

Cumulative frequency curve (Ogive): Plot cumulative frequency on the y-axis against upper class boundaries on the x-axis. The median is the x-coordinate where the ogive crosses n2\dfrac{n}{2} on the y-axis.

Less-than ogive: Plot (upper boundary, cumulative frequency) — a rising curve.
More-than ogive: Plot (lower boundary, n minus cumulative frequency) — a falling curve.
The x-coordinate of their intersection gives the median.

Exercise 13.1 — Mean of Grouped Data (Solved)

Three methods to find the mean of grouped data, each suited to different situations.

Problem 1: Step Deviation Method

Problem: Find the mean of the following distribution using the step deviation method.

Class0-2020-4040-6060-8080-100
Frequency1728322419

Solution:
Let a=50a = 50 (assumed mean), h=20h = 20 (class width).

Classfif_ixix_iui=xi5020u_i = \dfrac{x_i - 50}{20}fiuif_i u_i
0-2017102-234-34
20-4028301-128-28
40-6032500000
60-802470112424
80-1001990223838
Total1200

xˉ=a+h×fiuifi=50+20×0120=50\bar{x} = a + h \times \dfrac{\sum f_i u_i}{\sum f_i} = 50 + 20 \times \dfrac{0}{120} = 50

Answer: Mean =50= 50.

Problem 2: Direct Method

Problem: The following table gives the literacy rate (in %) of 35 cities. Find the mean literacy rate.

Literacy rate45-5555-6565-7575-8585-95
Number of cities3101183

Solution (Direct method):

Classfif_ixix_ifixif_i x_i
45-55350150
55-651060600
65-751170770
75-85880640
85-95390270
Total352430

xˉ=243035=69.43\bar{x} = \dfrac{2430}{35} = 69.43

Answer: Mean literacy rate 69.43%\approx 69.43\%.

Problem 3: Assumed Mean Method

Problem: Find the mean of the following distribution using the assumed mean method.

Class10-2525-4040-5555-7070-85
Frequency23766

Solution:
Let a=47.5a = 47.5 (midpoint of the most frequent class 40-55). Class width h=15h = 15.

Classfif_ixix_idi=xi47.5d_i = x_i - 47.5fidif_i d_i
10-25217.530-3060-60
25-40332.515-1545-45
40-55747.50000
55-70662.515159090
70-85677.53030180180
Total24165

xˉ=47.5+16524=47.5+6.875=54.375\bar{x} = 47.5 + \dfrac{165}{24} = 47.5 + 6.875 = 54.375

Answer: Mean =54.375= 54.375.

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Exercise 13.2 — Mode of Grouped Data (Solved)

The modal class is the class interval with the highest frequency.

Problem 1: Finding Mode from Frequency Table

Problem: Find the mode of the following data.

Class0-1010-2020-3030-4040-50
Frequency81636346

Solution:
Modal class = 20-30 (highest frequency =36= 36).

l=20l = 20, f1=36f_1 = 36, f0=16f_0 = 16, f2=34f_2 = 34, h=10h = 10.

Mode=20+(36162(36)1634)×10\text{Mode} = 20 + \left(\dfrac{36 - 16}{2(36) - 16 - 34}\right) \times 10

=20+207250×10=20+2022×10= 20 + \dfrac{20}{72 - 50} \times 10 = 20 + \dfrac{20}{22} \times 10

=20+20022=20+9.09=29.09= 20 + \dfrac{200}{22} = 20 + 9.09 = 29.09

Answer: Mode 29.09\approx 29.09.

Problem 2: Mode of Patient Data

Problem: The following data gives the number of patients in a hospital during a particular week. Find the mode.

Age (years)0-1010-2020-3030-4040-5050-60
Patients6112123145

Solution:
Modal class = 30-40 (highest frequency =23= 23).

l=30l = 30, f1=23f_1 = 23, f0=21f_0 = 21, f2=14f_2 = 14, h=10h = 10.

Mode=30+(23212(23)2114)×10\text{Mode} = 30 + \left(\dfrac{23 - 21}{2(23) - 21 - 14}\right) \times 10

=30+24635×10=30+211×10= 30 + \dfrac{2}{46 - 35} \times 10 = 30 + \dfrac{2}{11} \times 10

=30+1.82=31.82= 30 + 1.82 = 31.82

Answer: Mode 31.82\approx 31.82 years. The most common age group visiting the hospital is around 31-32 years.

Exercise 13.3 — Median of Grouped Data (Solved)

Finding the median requires computing cumulative frequencies to identify the median class.

Problem 1: Basic Median Calculation

Problem: Find the median of the following data.

Class0-1010-2020-3030-4040-50
Frequency5820157

Solution:
Cumulative frequencies: 5,13,33,48,555, 13, 33, 48, 55.

n=55n = 55, so n2=27.5\dfrac{n}{2} = 27.5.

Median class: 20-30 (cumulative frequency 3333 first exceeds 27.527.5).

l=20l = 20, cf=13cf = 13 (cumulative frequency before median class), f=20f = 20, h=10h = 10.

Median=20+(27.51320)×10=20+14.520×10=20+7.25=27.25\text{Median} = 20 + \left(\dfrac{27.5 - 13}{20}\right) \times 10 = 20 + \dfrac{14.5}{20} \times 10 = 20 + 7.25 = 27.25

Answer: Median =27.25= 27.25.

Problem 2: Median with Larger Class Width

Problem: Find the median for the following data with total frequency 170.

Class0-2020-4040-6060-8080-100
Frequency2535504020

Solution:
n=170n = 170, n2=85\dfrac{n}{2} = 85.

Cumulative frequencies: 25,60,110,150,17025, 60, 110, 150, 170.

Median class: 40-60 (cumulative frequency 110110 is the first to exceed 8585).

l=40l = 40, cf=60cf = 60, f=50f = 50, h=20h = 20.

Median=40+856050×20=40+2550×20=40+10=50\text{Median} = 40 + \dfrac{85 - 60}{50} \times 20 = 40 + \dfrac{25}{50} \times 20 = 40 + 10 = 50

Answer: Median =50= 50.

Problem 3: Median of Wage Distribution

Problem: Find the median wage from the following distribution.

Daily wage (Rs)100-120120-140140-160160-180180-200
Workers12148610

Solution:
Cumulative frequencies: 12,26,34,40,5012, 26, 34, 40, 50.

n=50n = 50, n2=25\dfrac{n}{2} = 25.

Median class: 120-140 (cumulative frequency 2626 first exceeds 2525).

l=120l = 120, cf=12cf = 12, f=14f = 14, h=20h = 20.

Median=120+251214×20=120+1314×20=120+18.57=138.57\text{Median} = 120 + \dfrac{25 - 12}{14} \times 20 = 120 + \dfrac{13}{14} \times 20 = 120 + 18.57 = 138.57

Answer: Median wage \approx Rs 138.57138.57.

Exercise 13.4 — Cumulative Frequency Curves (Ogives)

An ogive is a graph of cumulative frequency plotted against upper class boundaries. It helps find the median graphically.

How to Draw a Less-Than Ogive

Steps:
1. Construct a cumulative frequency table using upper class boundaries.
2. Plot points: (upper boundary, cumulative frequency).
3. Join the points with a smooth freehand curve.
4. Start the curve from (lower boundary of first class, 0).

Finding the median from the ogive:
Locate n2\dfrac{n}{2} on the y-axis, draw a horizontal line to the curve, then drop a perpendicular to the x-axis. The x-coordinate is the median.

Example: For the data:
| Class | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 |
|---|---|---|---|---|---|
| Frequency | 5 | 8 | 20 | 15 | 7 |

Cumulative frequency table:
| Less than | 10 | 20 | 30 | 40 | 50 |
|---|---|---|---|---|---|
| CF | 5 | 13 | 33 | 48 | 55 |

Plot: (10,5),(20,13),(30,33),(40,48),(50,55)(10, 5), (20, 13), (30, 33), (40, 48), (50, 55).

Locate 552=27.5\dfrac{55}{2} = 27.5 on y-axis. The corresponding x-value is approximately 27.2527.25, which matches our earlier calculation.

More-Than Ogive and Intersection Method

More-than ogive: Plot (lower boundary, nn minus cumulative frequency).

For the same data:
| More than | 0 | 10 | 20 | 30 | 40 |
|---|---|---|---|---|---|
| CF | 55 | 50 | 42 | 22 | 7 |

Plot: (0,55),(10,50),(20,42),(30,22),(40,7)(0, 55), (10, 50), (20, 42), (30, 22), (40, 7).

Intersection method: Draw both ogives on the same graph. Their point of intersection gives the median on the x-axis. This is a commonly tested 4-5 mark question in board exams.

The less-than ogive is a rising curve and the more-than ogive is a falling curve. They always intersect at exactly one point, and the x-coordinate of that intersection is the median.

Worked Examples — Additional Practice

Here are additional problems covering exam patterns and tricky scenarios.

Example 1: Finding Missing Frequency Using Mean

Problem: The mean of the following distribution is 50. Find the missing frequencies f1f_1 and f2f_2 if the total frequency is 120.

Class0-2020-4040-6060-8080-100
Frequency17f1f_132f2f_219

Solution:
17+f1+32+f2+19=12017 + f_1 + 32 + f_2 + 19 = 120
f1+f2=52f_1 + f_2 = 52 ...(i)

Using the step deviation method with a=50a = 50, h=20h = 20:
fiui=17(2)+f1(1)+32(0)+f2(1)+19(2)=34f1+f2+38=4f1+f2\sum f_i u_i = 17(-2) + f_1(-1) + 32(0) + f_2(1) + 19(2) = -34 - f_1 + f_2 + 38 = 4 - f_1 + f_2

Mean =50+20×4f1+f2120=50= 50 + 20 \times \dfrac{4 - f_1 + f_2}{120} = 50

So 4f1+f2=04 - f_1 + f_2 = 0, giving f2f1=4f_2 - f_1 = -4, i.e., f1f2=4f_1 - f_2 = 4 ...(ii)

From (i) and (ii): f1=28f_1 = 28 and f2=24f_2 = 24.

Example 2: Verifying with Empirical Relationship

Problem: For a distribution, the mean is 35 and the mode is 32. Find the median using the empirical relationship.

Solution:
3×Median=Mode+2×Mean3 \times \text{Median} = \text{Mode} + 2 \times \text{Mean}
3×Median=32+2×35=32+70=1023 \times \text{Median} = 32 + 2 \times 35 = 32 + 70 = 102
Median=1023=34\text{Median} = \dfrac{102}{3} = 34

Answer: Median =34= 34.

Note: This relationship is approximate and works best for moderately skewed distributions.

Example 3: Comparing Three Methods for Mean

Problem: Find the mean of the following data using all three methods and verify they give the same answer.

Class10-2020-3030-4040-5050-60
Frequency4810126

Direct method:
fixi=4(15)+8(25)+10(35)+12(45)+6(55)=60+200+350+540+330=1480\sum f_i x_i = 4(15) + 8(25) + 10(35) + 12(45) + 6(55) = 60 + 200 + 350 + 540 + 330 = 1480
xˉ=148040=37\bar{x} = \dfrac{1480}{40} = 37

Assumed mean method (a=35a = 35):
fidi=4(20)+8(10)+10(0)+12(10)+6(20)=8080+0+120+120=80\sum f_i d_i = 4(-20) + 8(-10) + 10(0) + 12(10) + 6(20) = -80 - 80 + 0 + 120 + 120 = 80
xˉ=35+8040=35+2=37\bar{x} = 35 + \dfrac{80}{40} = 35 + 2 = 37

Step deviation method (a=35a = 35, h=10h = 10):
fiui=4(2)+8(1)+10(0)+12(1)+6(2)=88+0+12+12=8\sum f_i u_i = 4(-2) + 8(-1) + 10(0) + 12(1) + 6(2) = -8 - 8 + 0 + 12 + 12 = 8
xˉ=35+10×840=35+2=37\bar{x} = 35 + 10 \times \dfrac{8}{40} = 35 + 2 = 37

All three methods give the same answer: **Mean =37= 37**.

Common Mistakes to Avoid

Mistake 1: Using class limits instead of class marks.
The class mark (midpoint) xi=upper limit+lower limit2x_i = \dfrac{\text{upper limit} + \text{lower limit}}{2} must be used in mean calculations, not the class limits themselves.

Mistake 2: Confusing modal class with median class.
The modal class has the highest frequency. The median class is the class whose cumulative frequency first exceeds n2\dfrac{n}{2}. These are usually different classes.

Mistake 3: Using cumulative frequency instead of frequency in median formula.
In the median formula, ff is the frequency of the median class (not its cumulative frequency), and cfcf is the cumulative frequency of the class BEFORE the median class.

**Mistake 4: Incorrect identification of f0f_0 and f2f_2 in mode formula.**
f0f_0 is the frequency of the class immediately before the modal class, and f2f_2 is the frequency of the class immediately after it. Swapping these gives a wrong answer.

Mistake 5: Forgetting that the step deviation method requires equal class widths.
The step deviation method works correctly only when all class intervals have the same width hh. If class widths are unequal, use the direct or assumed mean method instead.

Practice Questions with Answers

Test your understanding with these problems.

Q1: Mean Using Step Deviation

Question: Find the mean of the following distribution.

Class0-1010-2020-3030-4040-50
Frequency71218103

Answer:
Let a=25a = 25, h=10h = 10.
fiui=7(2)+12(1)+18(0)+10(1)+3(2)=1412+0+10+6=10\sum f_i u_i = 7(-2) + 12(-1) + 18(0) + 10(1) + 3(2) = -14 - 12 + 0 + 10 + 6 = -10
xˉ=25+10×1050=252=23\bar{x} = 25 + 10 \times \dfrac{-10}{50} = 25 - 2 = 23.

**Mean =23= 23.**

Q2: Mode of Grouped Data

Question: Find the mode.

Class10-2020-3030-4040-5050-60
Frequency581264

Answer:
Modal class = 30-40. l=30l = 30, f1=12f_1 = 12, f0=8f_0 = 8, f2=6f_2 = 6, h=10h = 10.
Mode=30+1282486×10=30+410×10=30+4=34\text{Mode} = 30 + \dfrac{12 - 8}{24 - 8 - 6} \times 10 = 30 + \dfrac{4}{10} \times 10 = 30 + 4 = 34.

**Mode =34= 34.**

Q3: Median of Grouped Data

Question: Find the median.

Class0-2020-4040-6060-8080-100
Frequency1015252010

Answer:
n=80n = 80, n2=40\dfrac{n}{2} = 40.
Cumulative frequencies: 10,25,50,70,8010, 25, 50, 70, 80.
Median class: 40-60 (cf=50cf = 50 first exceeds 4040).
l=40l = 40, cf=25cf = 25, f=25f = 25, h=20h = 20.
Median=40+402525×20=40+1525×20=40+12=52\text{Median} = 40 + \dfrac{40 - 25}{25} \times 20 = 40 + \dfrac{15}{25} \times 20 = 40 + 12 = 52.

**Median =52= 52.**

Q4: Using Empirical Relationship

Question: For a distribution, Mode =65= 65 and Mean =61.6= 61.6. Find the Median.

Answer:
3×Median=65+2×61.6=65+123.2=188.23 \times \text{Median} = 65 + 2 \times 61.6 = 65 + 123.2 = 188.2
Median=188.23=62.73\text{Median} = \dfrac{188.2}{3} = 62.73.

**Median 62.73\approx 62.73.**

Exam Tips for Statistics

Tip 1 — The step deviation method is the fastest for finding the mean when class widths are equal. Choose aa as the class mark of the class with the highest frequency to minimise computation.

Tip 2 — To find the median class, compute n2\dfrac{n}{2} and scan the cumulative frequency column to find the first value that exceeds n2\dfrac{n}{2}. The corresponding class is the median class.

Tip 3 — In the mode formula, the modal class is identified by the highest frequency, not the highest cumulative frequency. This is a very common error.

Tip 4 — Make neat tables with all columns clearly labelled (xix_i, fif_i, fixif_ix_i, did_i, uiu_i, etc.). This earns method marks even if the final answer has a calculation error.

Tip 5 — Use the empirical relationship 3×MedianMode+2×Mean3 \times \text{Median} \approx \text{Mode} + 2 \times \text{Mean} to verify your answers. If the three values do not approximately satisfy this relationship, recheck your calculations.

Tip 6 — For ogive questions, always label your axes clearly (cumulative frequency on y-axis, class boundaries on x-axis). Use a smooth freehand curve, not straight-line segments.

Tip 7 — When drawing both ogives, the less-than ogive rises from left to right and the more-than ogive falls from left to right. Their intersection point gives the median.

Tip 8 — Check your cumulative frequencies. The last cumulative frequency must equal nn (the total frequency). If it does not, you have made an addition error.

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Key Takeaways

  • The step deviation method is the most efficient way to find the mean of grouped data when class widths are equal.
    - The mode formula uses the modal class (highest frequency) and the frequencies of its neighbouring classes.
    - The median formula requires cumulative frequencies; the median class is where n2\dfrac{n}{2} first gets exceeded.
    - Ogives (cumulative frequency curves) provide a graphical method to find the median. The intersection of less-than and more-than ogives gives the median.
    - The empirical relationship 3×Median=Mode+2×Mean3 \times \text{Median} = \text{Mode} + 2 \times \text{Mean} is useful for verification.
    - Always construct clear, well-labelled tables when solving statistics problems — they earn method marks and reduce errors.
    - This chapter carries 5-8 marks in CBSE board exams, with mean and median being the most frequently tested topics.

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