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).

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:
where is the class mark (midpoint) of each class and is its frequency. Simple but tedious for large values.
Assumed mean method:
where is the assumed mean (usually the class mark of the middle or most frequent class), and . This reduces the size of numbers you work with.
Step deviation method:
where and is the class width. This is the fastest method when class widths are equal, as values are small integers.
Mode of Grouped Data
The modal class is the class with the highest frequency. The mode formula is:
where:
- = lower limit of the modal class
- = frequency of the modal class
- = frequency of the class just before the modal class
- = frequency of the class just after the modal class
- = 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 .
where:
- = lower limit of the median class
- = total frequency ()
- = cumulative frequency of the class just before the median class
- = frequency of the median class
- = class width
Empirical Relationship and Ogives
Empirical relationship: For moderately skewed distributions:
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 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.
| Class | 0-20 | 20-40 | 40-60 | 60-80 | 80-100 |
|---|---|---|---|---|---|
| Frequency | 17 | 28 | 32 | 24 | 19 |
Solution:
Let (assumed mean), (class width).
| Class | ||||
|---|---|---|---|---|
| 0-20 | 17 | 10 | ||
| 20-40 | 28 | 30 | ||
| 40-60 | 32 | 50 | ||
| 60-80 | 24 | 70 | ||
| 80-100 | 19 | 90 | ||
| Total | 120 | 0 |
Answer: Mean .
Problem 2: Direct Method
Problem: The following table gives the literacy rate (in %) of 35 cities. Find the mean literacy rate.
| Literacy rate | 45-55 | 55-65 | 65-75 | 75-85 | 85-95 |
|---|---|---|---|---|---|
| Number of cities | 3 | 10 | 11 | 8 | 3 |
Solution (Direct method):
| Class | |||
|---|---|---|---|
| 45-55 | 3 | 50 | 150 |
| 55-65 | 10 | 60 | 600 |
| 65-75 | 11 | 70 | 770 |
| 75-85 | 8 | 80 | 640 |
| 85-95 | 3 | 90 | 270 |
| Total | 35 | 2430 |
Answer: Mean literacy rate .
Problem 3: Assumed Mean Method
Problem: Find the mean of the following distribution using the assumed mean method.
| Class | 10-25 | 25-40 | 40-55 | 55-70 | 70-85 |
|---|---|---|---|---|---|
| Frequency | 2 | 3 | 7 | 6 | 6 |
Solution:
Let (midpoint of the most frequent class 40-55). Class width .
| Class | ||||
|---|---|---|---|---|
| 10-25 | 2 | 17.5 | ||
| 25-40 | 3 | 32.5 | ||
| 40-55 | 7 | 47.5 | ||
| 55-70 | 6 | 62.5 | ||
| 70-85 | 6 | 77.5 | ||
| Total | 24 | 165 |
Answer: Mean .
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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.
| Class | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 |
|---|---|---|---|---|---|
| Frequency | 8 | 16 | 36 | 34 | 6 |
Solution:
Modal class = 20-30 (highest frequency ).
, , , , .
Answer: Mode .
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) | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 |
|---|---|---|---|---|---|---|
| Patients | 6 | 11 | 21 | 23 | 14 | 5 |
Solution:
Modal class = 30-40 (highest frequency ).
, , , , .
Answer: Mode 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.
| Class | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 |
|---|---|---|---|---|---|
| Frequency | 5 | 8 | 20 | 15 | 7 |
Solution:
Cumulative frequencies: .
, so .
Median class: 20-30 (cumulative frequency first exceeds ).
, (cumulative frequency before median class), , .
Answer: Median .
Problem 2: Median with Larger Class Width
Problem: Find the median for the following data with total frequency 170.
| Class | 0-20 | 20-40 | 40-60 | 60-80 | 80-100 |
|---|---|---|---|---|---|
| Frequency | 25 | 35 | 50 | 40 | 20 |
Solution:
, .
Cumulative frequencies: .
Median class: 40-60 (cumulative frequency is the first to exceed ).
, , , .
Answer: Median .
Problem 3: Median of Wage Distribution
Problem: Find the median wage from the following distribution.
| Daily wage (Rs) | 100-120 | 120-140 | 140-160 | 160-180 | 180-200 |
|---|---|---|---|---|---|
| Workers | 12 | 14 | 8 | 6 | 10 |
Solution:
Cumulative frequencies: .
, .
Median class: 120-140 (cumulative frequency first exceeds ).
, , , .
Answer: Median wage Rs .
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 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: .
Locate on y-axis. The corresponding x-value is approximately , which matches our earlier calculation.
More-Than Ogive and Intersection Method
More-than ogive: Plot (lower boundary, minus cumulative frequency).
For the same data:
| More than | 0 | 10 | 20 | 30 | 40 |
|---|---|---|---|---|---|
| CF | 55 | 50 | 42 | 22 | 7 |
Plot: .
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 and if the total frequency is 120.
| Class | 0-20 | 20-40 | 40-60 | 60-80 | 80-100 |
|---|---|---|---|---|---|
| Frequency | 17 | 32 | 19 |
Solution:
...(i)
Using the step deviation method with , :
Mean
So , giving , i.e., ...(ii)
From (i) and (ii): and .
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:
Answer: Median .
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.
| Class | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 |
|---|---|---|---|---|---|
| Frequency | 4 | 8 | 10 | 12 | 6 |
Direct method:
Assumed mean method ():
✓
Step deviation method (, ):
✓
All three methods give the same answer: **Mean **.
Common Mistakes to Avoid
Mistake 1: Using class limits instead of class marks.
The class mark (midpoint) 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 . These are usually different classes.
Mistake 3: Using cumulative frequency instead of frequency in median formula.
In the median formula, is the frequency of the median class (not its cumulative frequency), and is the cumulative frequency of the class BEFORE the median class.
**Mistake 4: Incorrect identification of and in mode formula.**
is the frequency of the class immediately before the modal class, and 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 . 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.
| Class | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 |
|---|---|---|---|---|---|
| Frequency | 7 | 12 | 18 | 10 | 3 |
Answer:
Let , .
.
**Mean .**
Q2: Mode of Grouped Data
Question: Find the mode.
| Class | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 |
|---|---|---|---|---|---|
| Frequency | 5 | 8 | 12 | 6 | 4 |
Answer:
Modal class = 30-40. , , , , .
.
**Mode .**
Q3: Median of Grouped Data
Question: Find the median.
| Class | 0-20 | 20-40 | 40-60 | 60-80 | 80-100 |
|---|---|---|---|---|---|
| Frequency | 10 | 15 | 25 | 20 | 10 |
Answer:
, .
Cumulative frequencies: .
Median class: 40-60 ( first exceeds ).
, , , .
.
**Median .**
Q4: Using Empirical Relationship
Question: For a distribution, Mode and Mean . Find the Median.
Answer:
.
**Median .**
Exam Tips for Statistics
Tip 1 — The step deviation method is the fastest for finding the mean when class widths are equal. Choose as the class mark of the class with the highest frequency to minimise computation.
Tip 2 — To find the median class, compute and scan the cumulative frequency column to find the first value that exceeds . 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 (, , , , , etc.). This earns method marks even if the final answer has a calculation error.
Tip 5 — Use the empirical relationship 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 (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 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 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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