NCERT Solutions for Class 7 Maths Chapter 3: Data Handling — Complete Guide with Step-by-Step Solutions
Master mean, median, mode, bar graphs, and basic probability with 40+ solved examples, common mistakes, and exam strategies.

Why Data Handling Matters More Than You Think
Data Handling is one of those chapters that connects mathematics directly to the real world. Every time you see a survey result, a weather forecast, a cricket batting average, or an election poll, you are looking at data that has been collected, organised, and interpreted using exactly the tools taught in this chapter.
Chapter 3 of Class 7 Maths introduces you to three fundamental measures of central tendency — mean, median, and mode — which are used to summarise large amounts of data into single representative numbers. It also covers bar graphs for visual representation and gives you a first taste of probability, the mathematics of chance.
The NCERT textbook organises this chapter into 4 exercises:
- Exercise 3.1: Arithmetic mean and its applications
- Exercise 3.2: Mode and median
- Exercise 3.3: Bar graphs (reading and drawing)
- Exercise 3.4: Introduction to probability
This guide covers 8-10 solved problems from each exercise, explains every concept in depth, highlights common mistakes, and provides a clear exam strategy. Let us dive in!
Understanding Central Tendency: Mean, Median, and Mode
When you have a collection of data, you often want to describe it with a single number that represents the "centre" or "typical" value. The three measures of central tendency do exactly this, but each works differently.
Arithmetic Mean (Average): The sum of all values divided by the number of values. It uses every data point in its calculation.
Mode: The value that appears most frequently. It tells you what is most common.
Median: The middle value when data is arranged in ascending (or descending) order. It divides the data into two equal halves.
Each measure has its strengths:
- Mean is best when data is spread evenly without extreme values.
- Median is best when there are outliers (extreme values) that would distort the mean.
- Mode is best for categorical data (like favourite colour or most popular shoe size).
When to Use Which Measure
Consider the salaries in a small company: Rs. .
- Mean .
- Median (the middle value after arranging).
The mean (Rs. ) is misleading because one very high salary () pulls it up. The median (Rs. ) is a much better representation of the "typical" salary.
Rule of thumb: If your data has outliers, prefer the median. If data is fairly uniform, the mean works well. For finding the most popular or common item, use the mode.
Exercise 3.1 — Arithmetic Mean
The arithmetic mean is the most commonly used measure of central tendency. This exercise teaches you to calculate the mean and use it to solve problems.
Solved Example 1: Basic Mean Calculation
Problem: Find the mean of .
Solution:
Answer: The mean is .
Solved Example 2: Mean of Scores
Problem: A batsman scored in matches. Find the mean score.
Solution:
Answer: The mean score is .
Solved Example 3: Finding a Missing Observation
Problem: The mean of numbers is . If one number is excluded, the mean of the remaining numbers becomes . Find the excluded number.
Solution:
Sum of numbers .
Sum of remaining numbers .
Excluded number .
Answer: The excluded number is .
Solved Example 4: Mean with Given Sum
Problem: The mean of observations is . If the mean of the first observations is , find the mean of the remaining observations.
Solution:
Sum of observations .
Sum of first observations .
Sum of remaining observations .
Mean of remaining .
Answer: .
Solved Example 5: Finding a Score Needed for a Target Mean
Problem: A student scored in tests. What score must she get in the th test to have an overall mean of ?
Solution:
Required total for mean across tests .
Sum of first scores .
Required th score .
Answer: She needs to score .
Solved Example 6: Mean of Consecutive Numbers
Problem: Find the mean of the first natural numbers.
Solution:
Shortcut: The mean of the first natural numbers is . So for : .
Answer: .
Solved Example 7: Effect of Adding a Constant
Problem: The mean of numbers is . If is added to each number, what is the new mean?
Solution:
Original sum .
New sum .
New mean .
Key insight: When a constant is added to every observation, the mean increases by .
Answer: .
Solved Example 8: Mean from a Frequency Table
Problem: Find the mean of the following data:
| Value | ||||
|---|---|---|---|---|
| Frequency |
Solution:
Total observations .
Sum .
Answer: (approximately).
Solved Example 9: Range of Data
Problem: The heights of students (in cm) are . Find the range and mean.
Solution:
Range cm.
Mean cm.
Answer: Range cm, Mean cm.
Solved Example 10: Temperature Problem
Problem: The temperatures (in °C) for a week were . Find the mean temperature.
Solution:
Answer: The mean temperature is .
Practice this topic on SparkEd — free visual solutions and AI coaching
Exercise 3.2 — Mode and Median
This exercise introduces two more measures of central tendency: mode (most frequent value) and median (middle value).
Solved Example 1: Finding the Mode
Problem: Find the mode of: .
Solution:
First, count the frequency of each value:
- time
- times
- times
- times
- times
- time
Values each appear times (the highest frequency).
Answer: There are three modes: . (This data is trimodal.)
Solved Example 2: Mode of Cricket Scores
Problem: The runs scored by players are: . Find the mode.
Solution:
appears times, more than any other value.
Answer: Mode .
Solved Example 3: Median (Odd Number of Values)
Problem: Find the median of .
Solution:
Step 1: Arrange in ascending order: .
Step 2: (odd). Median th value th value.
Step 3: The th value is .
Answer: Median .
Solved Example 4: Median (Even Number of Values)
Problem: Find the median of .
Solution:
Step 1: Arrange: .
Step 2: (even). Median .
Answer: Median .
Solved Example 5: All Three Measures Together
Problem: For the data , find the mean, median, and mode.
Solution:
Mean:
Median: Arrange: . , so median th value .
Mode: appears times (most frequent). Mode .
Answer: Mean , Median , Mode .
Solved Example 6: No Mode
Problem: Find the mode of .
Solution:
Each value appears exactly once. No value is repeated.
Answer: There is no mode for this data set.
Solved Example 7: Mode from a Frequency Table
Problem: The shoe sizes of students are given:
| Size | |||||
|---|---|---|---|---|---|
| Students |
Find the mode.
Solution:
Size has the highest frequency ( students).
Answer: Mode .
Solved Example 8: Median with Repeated Values
Problem: Find the median of .
Solution:
All values are . The data is already sorted. (odd).
Median th value .
Answer: Median . (When all values are the same, mean median mode that value.)
Solved Example 9: Which Measure to Use?
Problem: In a class, the marks obtained (out of ) are: . Which measure of central tendency best represents this data?
Solution:
Mean .
Median .
Mode (appears times).
All three are close (), so any would work. But since there are no extreme outliers and the data is fairly symmetric, the mean is appropriate.
Answer: The mean () is a good representative.
Solved Example 10: Effect of Outlier
Problem: The ages of children in a group are . Identify the outlier and explain which measure is best.
Solution:
is an outlier (much larger than the rest).
Mean .
Median (after arranging: ).
Mode .
The mean () is misleadingly high because of the outlier . The **median ()** is the best representative.
Answer: The median is best because it is not affected by the outlier.
Exercise 3.3 — Bar Graphs
Bar graphs represent data using rectangular bars of equal width. The height (or length) of each bar represents the value of the corresponding category.
Solved Example 1: Drawing a Bar Graph
Problem: The number of students in different classes is: Class 6 , Class 7 , Class 8 , Class 9 , Class 10 . Draw a bar graph.
Solution:
Steps to draw:
1. Draw two axes — horizontal (X-axis: classes) and vertical (Y-axis: number of students).
2. Choose a scale: unit students.
3. Draw bars of appropriate height for each class:
- Class 6: units high
- Class 7: units high
- Class 8: units high
- Class 9: units high
- Class 10: units high
4. Ensure equal width and equal gaps between bars.
5. Label both axes and give a title.
Solved Example 2: Reading a Bar Graph
Problem: A bar graph shows rainfall (in mm) for different months: Jan , Feb , Mar , Apr , May . Answer: (a) Which month had the highest rainfall? (b) What is the difference between the highest and lowest?
Solution:
(a) The tallest bar corresponds to April ( mm).
(b) Difference mm (between April and January).
Solved Example 3: Choosing a Scale
Problem: Data values are . What scale would you use for a bar graph?
Solution:
The range is to . A scale of unit works well:
- Smallest bar: units
- Tallest bar: units
This keeps all bars between and units, which fits nicely on paper.
Tip: Choose a scale that makes the tallest bar about - units high.
Solved Example 4: Comparing Data from Bar Graphs
Problem: A bar graph shows the marks of students: Anil , Bina , Chetan , Deepa , Esha . (a) Who scored the highest? (b) How many scored above ?
Solution:
(a) Deepa scored the highest ().
(b) Students scoring above : Bina (), Deepa (), Esha () students.
Solved Example 5: Double Bar Graph
Problem: A school's results for two years are:
| Class | 2024 Pass % | 2025 Pass % |
|---|---|---|
| 6 | ||
| 7 | ||
| 8 |
How would you represent this?
Solution:
Use a double bar graph with two bars for each class (one for 2024, one for 2025), using different colours or shading.
This allows easy visual comparison between the two years for each class.
Observation: Every class improved from 2024 to 2025. Class 8 showed the biggest improvement (, an increase of percentage points).
Solved Example 6: Key Points About Bar Graphs
Problem: List the essential features every bar graph must have.
Solution:
Every bar graph must have:
1. Title — describes what the graph represents
2. X-axis label — what the categories are
3. Y-axis label — what the values represent (with units)
4. Scale — clearly stated (e.g., unit )
5. Equal bar widths — all bars should be the same width
6. Equal gaps — spacing between bars should be uniform
7. Bars starting from the base line — all bars start from
Common exam mistake: Forgetting to label the axes or state the scale. This costs marks.
Solved Example 7: Interpreting a Bar Graph with Large Numbers
Problem: A bar graph uses a scale where unit people. If a bar is units tall, how many people does it represent?
Solution:
Answer: people.
Solved Example 8: Creating Data for a Given Bar Graph
Problem: A bar graph shows bars with heights units respectively (scale: unit ). Convert this to a data table.
Solution:
| Category | Bar Height (units) | Value |
|---|---|---|
| A | ||
| B | ||
| C | ||
| D | ||
| E |
Exercise 3.4 — Introduction to Probability
Probability measures how likely an event is to occur, expressed as a number between and .
Solved Example 1: Coin Toss
Problem: A coin is tossed. What is the probability of getting heads?
Solution:
Total outcomes (Heads, Tails).
Favourable outcomes (Heads) .
Answer: (or or ).
Solved Example 2: Rolling a Die
Problem: A die is thrown. What is the probability of getting a number greater than ?
Solution:
Total outcomes ().
Favourable outcomes (greater than ) ().
Answer: .
Solved Example 3: Drawing from a Bag
Problem: A bag has red balls and blue balls. What is the probability of drawing a blue ball?
Solution:
Total balls .
Favourable (blue) .
Answer: .
Solved Example 4: Impossible and Certain Events
Problem: A die is thrown. Find the probability of: (a) getting , (b) getting a number less than .
Solution:
(a) A die has numbers - only. Getting is impossible.
(b) All numbers - are less than . This is a certain event.
Key facts:
- means the event is impossible.
- means the event is certain.
- for any event.
Solved Example 5: Complementary Events
Problem: The probability of rain tomorrow is . What is the probability of no rain?
Solution:
Key rule: .
Answer: .
Solved Example 6: Probability with Cards
Problem: From a well-shuffled pack of cards, one card is drawn. Find the probability of getting a king.
Solution:
Total cards .
Kings in a pack (one of each suit).
Answer: .
Solved Example 7: Probability of Even Numbers on a Die
Problem: A die is rolled. Find the probability of getting an even number.
Solution:
Total outcomes .
Even numbers: favourable outcomes .
Answer: .
Solved Example 8: Spinner Problem
Problem: A spinner has equal sectors numbered to . Find the probability of landing on: (a) a prime number, (b) a multiple of .
Solution:
(a) Prime numbers from -: favourable outcomes.
(b) Multiples of from -: favourable outcomes.
Solved Example 9: Two Coins Tossed
Problem: Two coins are tossed simultaneously. Find the probability of getting at least one head.
Solution:
Total outcomes when two coins are tossed: .
Favourable (at least one head): .
Alternative: .
Answer: .
Solved Example 10: Marble Problem
Problem: A jar contains red, green, and yellow marbles. One marble is drawn at random. Find the probability of getting: (a) a green marble, (b) a non-yellow marble.
Solution:
Total marbles .
(a) .
(b) Non-yellow marbles .
Answer: (a) , (b) .
Common Mistakes Students Make in Data Handling
Here are the most frequent errors — avoid these and you will score full marks:
1. Not Arranging Data Before Finding the Median:
* Mistake: Finding the middle value of unsorted data.
* Fix: ALWAYS arrange data in ascending order first, then find the median.
2. Confusing Mean and Median:
* Mistake: Computing the average when asked for the median, or vice versa.
* Fix: Mean sum count. Median middle value after sorting. Read the question carefully.
3. **Forgetting Median Formula for Even :**
* Mistake: Just picking one of the two middle values when is even.
* Fix: For even , median .
4. Saying "No Mode" When There Is One:
* Mistake: Not counting frequencies carefully and missing the mode.
* Fix: Make a frequency table. The value(s) with the highest frequency is the mode.
5. Missing Labels on Bar Graphs:
* Mistake: Drawing bars but forgetting to label axes, state the scale, or give a title.
* Fix: Always label both axes, state the scale, and give a title.
6. Probability Greater Than 1:
* Mistake: Getting a probability like .
* Fix: Probability must be between and . If you get a value , recheck your work.
7. Confusing Favourable and Total Outcomes:
* Mistake: Putting total outcomes in the numerator.
* Fix: Probability . Favourable is ALWAYS total.
Exam Strategy for Chapter 3: Data Handling
This chapter typically carries 5-8 marks in Class 7 annual exams. Here is your strategy:
Typical Question Patterns:
* 1-2 Mark Questions: Find the mean/median/mode of a small data set. Simple probability questions (coin, die).
* 2-3 Mark Questions: Find a missing observation given the mean. Read and interpret a bar graph. Probability with balls in a bag.
* 3-4 Mark Questions: Draw a bar graph from given data. Find all three measures of central tendency. Multi-step probability problems.
High-Priority Topics:
1. Mean calculation and finding missing values
2. Mode from frequency tables
3. Median for both odd and even
4. Drawing and reading bar graphs
5. Basic probability with coins, dice, and cards
Time Allocation:
- Mean calculation: 2-3 minutes
- Bar graph drawing: 4-5 minutes (use ruler!)
- Probability: 1-2 minutes per part
Golden Rules:
1. Show the formula before substituting values.
2. Sort data before finding the median.
3. Label bar graphs completely.
4. In probability, always write total and favourable outcomes explicitly.
5. Reduce probability fractions to lowest terms.
Practice on SparkEd's Data Handling page for interactive problems!
Practice Problems for Self-Assessment
Test yourself with these problems before moving on.
Problem 1: Find the mean of .
Problem 2: The mean of numbers is . Six of the numbers are . Find the th number.
Problem 3: Find the mode and median of .
Problem 4: A die is rolled. Find the probability of getting a number divisible by .
Problem 5: A bag has red, blue, and green balls. Find the probability of NOT drawing a blue ball.
Problem 6: The mean of observations is . If each observation is multiplied by , what is the new mean?
Answers to Practice Problems
Answer 1: .
Answer 2: Sum of numbers . Sum of given numbers . The th number .
Answer 3: Arrange: . Mode (appears times). , median th value .
Answer 4: Numbers divisible by : out of . .
Answer 5: Total , non-blue . .
Answer 6: When each observation is multiplied by , the mean is also multiplied by . New mean .
Quick Revision: All Formulas at a Glance
Arithmetic Mean:
**Mean of first natural numbers:** .
Mode: The observation with the highest frequency. A data set can have , , or multiple modes.
**Median (odd ):** th observation after sorting.
**Median (even ):** Average of th and th observations.
Range: Maximum value Minimum value.
Probability:
-
-
-
Effect on Mean:
- Adding to each observation: new mean .
- Multiplying each observation by : new mean .
Real-World Applications of Data Handling
Data handling skills are used everywhere in modern life:
Sports: A cricketer's batting average is the mean of all innings scores. Commentators use mode to identify the most common score range.
Weather: Daily temperatures are averaged to find the mean temperature for a month. Probability is used to forecast rain.
Business: Companies track sales data using bar graphs to compare performance across months or regions.
Medicine: Doctors use the median to report typical recovery times, since outliers (very slow or very fast recoveries) can skew the mean.
Elections: Poll results use probability and bar graphs to predict outcomes.
Education: Your school report card uses mean marks to calculate percentages and rank students.
Every newspaper chart, survey result, and statistical claim you encounter uses concepts from this chapter. The better you understand data handling, the more critically you can evaluate information around you.
Connecting to Other Chapters and Higher Classes
Data handling in Class 7 is the foundation for more advanced statistics:
Class 8: You will study grouped data, histograms, and pie charts. The mean calculation extends to grouped frequency distributions.
Class 9: Introduction to statistics as a formal branch of mathematics, with more rigorous definitions of mean, median, and mode for grouped data.
Class 10: Statistics becomes a full chapter with ogives (cumulative frequency curves) and the empirical relationship: Mode Median Mean.
Class 10 Probability: Much more detailed study of probability with sample spaces and events.
The concepts you learn now — mean, median, mode, bar graphs, and basic probability — are the building blocks for all of this. Master them thoroughly!
Boost Your Preparation with SparkEd
You have worked through every concept and problem type in Chapter 3 — Data Handling. To truly master this chapter, you need active practice.
Here is how SparkEd can help:
* Practice by Difficulty: On our Data Handling practice page, work through problems sorted into levels.
* AI Math Solver: Stuck on a mean, median, or probability problem? Paste it into our AI Solver for step-by-step solutions.
* AI Coach: Get personalised recommendations based on your performance.
* Cross-Topic Connections: Data handling connects to Comparing Quantities (Chapter 7) through percentages and ratios. Explore all chapters on our programs page.
Head over to sparkedmaths.com and start practising today!
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