Solved Examples

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.

CBSEClass 7
The SparkEd Authors (IITian & Googler)15 March 202652 min read
NCERT Solutions Class 7 Maths Chapter 3 Data Handling — SparkEd

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.

Mean=Sum of all observationsNumber of observations\text{Mean} = \frac{\text{Sum of all observations}}{\text{Number of observations}}

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. 10000,12000,11000,13000,9500010000, 12000, 11000, 13000, 95000.

  • Mean =10000+12000+11000+13000+950005=1410005=28200= \frac{10000 + 12000 + 11000 + 13000 + 95000}{5} = \frac{141000}{5} = 28200.
    - Median =12000= 12000 (the middle value after arranging).

The mean (Rs. 2820028200) is misleading because one very high salary (9500095000) pulls it up. The median (Rs. 1200012000) 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 5,9,8,7,65, 9, 8, 7, 6.

Solution:

Mean=5+9+8+7+65=355=7\text{Mean} = \frac{5 + 9 + 8 + 7 + 6}{5} = \frac{35}{5} = 7

Answer: The mean is 77.

Solved Example 2: Mean of Scores

Problem: A batsman scored 40,55,63,45,3240, 55, 63, 45, 32 in 55 matches. Find the mean score.

Solution:

Mean=40+55+63+45+325=2355=47\text{Mean} = \frac{40 + 55 + 63 + 45 + 32}{5} = \frac{235}{5} = 47

Answer: The mean score is 4747.

Solved Example 3: Finding a Missing Observation

Problem: The mean of 66 numbers is 2121. If one number is excluded, the mean of the remaining 55 numbers becomes 2020. Find the excluded number.

Solution:
Sum of 66 numbers =21×6=126= 21 \times 6 = 126.

Sum of remaining 55 numbers =20×5=100= 20 \times 5 = 100.

Excluded number =126100=26= 126 - 100 = 26.

Answer: The excluded number is 2626.

Solved Example 4: Mean with Given Sum

Problem: The mean of 1010 observations is 1515. If the mean of the first 66 observations is 1212, find the mean of the remaining 44 observations.

Solution:
Sum of 1010 observations =15×10=150= 15 \times 10 = 150.

Sum of first 66 observations =12×6=72= 12 \times 6 = 72.

Sum of remaining 44 observations =15072=78= 150 - 72 = 78.

Mean of remaining 44 =784=19.5= \frac{78}{4} = 19.5.

Answer: 19.519.5.

Solved Example 5: Finding a Score Needed for a Target Mean

Problem: A student scored 72,85,90,6872, 85, 90, 68 in 44 tests. What score must she get in the 55th test to have an overall mean of 8080?

Solution:
Required total for mean 8080 across 55 tests =80×5=400= 80 \times 5 = 400.

Sum of first 44 scores =72+85+90+68=315= 72 + 85 + 90 + 68 = 315.

Required 55th score =400315=85= 400 - 315 = 85.

Answer: She needs to score 8585.

Solved Example 6: Mean of Consecutive Numbers

Problem: Find the mean of the first 55 natural numbers.

Solution:

Mean=1+2+3+4+55=155=3\text{Mean} = \frac{1 + 2 + 3 + 4 + 5}{5} = \frac{15}{5} = 3

Shortcut: The mean of the first nn natural numbers is n+12\frac{n + 1}{2}. So for n=5n = 5: 5+12=3\frac{5 + 1}{2} = 3.

Answer: 33.

Solved Example 7: Effect of Adding a Constant

Problem: The mean of 55 numbers is 1212. If 33 is added to each number, what is the new mean?

Solution:
Original sum =12×5=60= 12 \times 5 = 60.

New sum =60+3×5=60+15=75= 60 + 3 \times 5 = 60 + 15 = 75.

New mean =755=15=12+3= \frac{75}{5} = 15 = 12 + 3.

Key insight: When a constant kk is added to every observation, the mean increases by kk.

Answer: 1515.

Solved Example 8: Mean from a Frequency Table

Problem: Find the mean of the following data:

Value55101015152020
Frequency33554422

Solution:
Total observations =3+5+4+2=14= 3 + 5 + 4 + 2 = 14.

Sum =5×3+10×5+15×4+20×2=15+50+60+40=165= 5 \times 3 + 10 \times 5 + 15 \times 4 + 20 \times 2 = 15 + 50 + 60 + 40 = 165.

Mean=16514=11.7911.8\text{Mean} = \frac{165}{14} = 11.79 \approx 11.8

Answer: 11.811.8 (approximately).

Solved Example 9: Range of Data

Problem: The heights of 77 students (in cm) are 145,152,148,160,155,149,153145, 152, 148, 160, 155, 149, 153. Find the range and mean.

Solution:
Range =MaximumMinimum=160145=15= \text{Maximum} - \text{Minimum} = 160 - 145 = 15 cm.

Mean =145+152+148+160+155+149+1537=10627=151.7= \frac{145 + 152 + 148 + 160 + 155 + 149 + 153}{7} = \frac{1062}{7} = 151.7 cm.

Answer: Range =15= 15 cm, Mean =151.7= 151.7 cm.

Solved Example 10: Temperature Problem

Problem: The temperatures (in °C) for a week were 28,30,27,29,31,28,3028, 30, 27, 29, 31, 28, 30. Find the mean temperature.

Solution:

Mean=28+30+27+29+31+28+307=2037=29°C\text{Mean} = \frac{28 + 30 + 27 + 29 + 31 + 28 + 30}{7} = \frac{203}{7} = 29°C

Answer: The mean temperature is 29°C29°C.

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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: 2,6,5,3,0,3,4,3,2,4,5,2,42, 6, 5, 3, 0, 3, 4, 3, 2, 4, 5, 2, 4.

Solution:
First, count the frequency of each value:
- 010 \to 1 time
- 232 \to 3 times
- 333 \to 3 times
- 434 \to 3 times
- 525 \to 2 times
- 616 \to 1 time

Values 2,3,42, 3, 4 each appear 33 times (the highest frequency).

Answer: There are three modes: 2,3,42, 3, 4. (This data is trimodal.)

Solved Example 2: Mode of Cricket Scores

Problem: The runs scored by 1111 players are: 7,16,121,51,101,81,1,16,9,11,167, 16, 121, 51, 101, 81, 1, 16, 9, 11, 16. Find the mode.

Solution:
1616 appears 33 times, more than any other value.

Answer: Mode =16= 16.

Solved Example 3: Median (Odd Number of Values)

Problem: Find the median of 13,16,12,14,19,12,14,13,1413, 16, 12, 14, 19, 12, 14, 13, 14.

Solution:
Step 1: Arrange in ascending order: 12,12,13,13,14,14,14,16,1912, 12, 13, 13, 14, 14, 14, 16, 19.

Step 2: n=9n = 9 (odd). Median =(n+12)= \left(\frac{n+1}{2}\right)th value =5= 5th value.

Step 3: The 55th value is 1414.

Answer: Median =14= 14.

Solved Example 4: Median (Even Number of Values)

Problem: Find the median of 3,1,5,6,3,43, 1, 5, 6, 3, 4.

Solution:
Step 1: Arrange: 1,3,3,4,5,61, 3, 3, 4, 5, 6.

Step 2: n=6n = 6 (even). Median =(n2)th value+(n2+1)th value2= \frac{\left(\frac{n}{2}\right)\text{th value} + \left(\frac{n}{2}+1\right)\text{th value}}{2}.

Median=3rd value+4th value2=3+42=3.5\text{Median} = \frac{3\text{rd value} + 4\text{th value}}{2} = \frac{3 + 4}{2} = 3.5

Answer: Median =3.5= 3.5.

Solved Example 5: All Three Measures Together

Problem: For the data 5,7,9,7,3,7,5,9,35, 7, 9, 7, 3, 7, 5, 9, 3, find the mean, median, and mode.

Solution:
Mean:

5+7+9+7+3+7+5+9+39=5596.1\frac{5 + 7 + 9 + 7 + 3 + 7 + 5 + 9 + 3}{9} = \frac{55}{9} \approx 6.1

Median: Arrange: 3,3,5,5,7,7,7,9,93, 3, 5, 5, 7, 7, 7, 9, 9. n=9n = 9, so median =5= 5th value =7= 7.

Mode: 77 appears 33 times (most frequent). Mode =7= 7.

Answer: Mean 6.1\approx 6.1, Median =7= 7, Mode =7= 7.

Solved Example 6: No Mode

Problem: Find the mode of 5,8,12,3,75, 8, 12, 3, 7.

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 2020 students are given:

Size5566778899
Students2255883322

Find the mode.

Solution:
Size 77 has the highest frequency (88 students).

Answer: Mode =7= 7.

Solved Example 8: Median with Repeated Values

Problem: Find the median of 4,4,4,4,4,4,44, 4, 4, 4, 4, 4, 4.

Solution:
All values are 44. The data is already sorted. n=7n = 7 (odd).

Median =4= 4th value =4= 4.

Answer: Median =4= 4. (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 1010) are: 2,3,5,5,5,6,6,7,8,102, 3, 5, 5, 5, 6, 6, 7, 8, 10. Which measure of central tendency best represents this data?

Solution:
Mean =2+3+5+5+5+6+6+7+8+1010=5710=5.7= \frac{2 + 3 + 5 + 5 + 5 + 6 + 6 + 7 + 8 + 10}{10} = \frac{57}{10} = 5.7.

Median =5th+6th2=5+62=5.5= \frac{5\text{th} + 6\text{th}}{2} = \frac{5 + 6}{2} = 5.5.

Mode =5= 5 (appears 33 times).

All three are close (5,5.5,5.75, 5.5, 5.7), so any would work. But since there are no extreme outliers and the data is fairly symmetric, the mean is appropriate.

Answer: The mean (5.75.7) is a good representative.

Solved Example 10: Effect of Outlier

Problem: The ages of 55 children in a group are 8,9,8,10,258, 9, 8, 10, 25. Identify the outlier and explain which measure is best.

Solution:
2525 is an outlier (much larger than the rest).

Mean =8+9+8+10+255=605=12= \frac{8 + 9 + 8 + 10 + 25}{5} = \frac{60}{5} = 12.

Median =9= 9 (after arranging: 8,8,9,10,258, 8, 9, 10, 25).

Mode =8= 8.

The mean (1212) is misleadingly high because of the outlier 2525. The **median (99)** 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 =120= 120, Class 7 =100= 100, Class 8 =90= 90, Class 9 =110= 110, Class 10 =80= 80. 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: 11 unit =20= 20 students.
3. Draw bars of appropriate height for each class:
- Class 6: 120÷20=6120 \div 20 = 6 units high
- Class 7: 100÷20=5100 \div 20 = 5 units high
- Class 8: 90÷20=4.590 \div 20 = 4.5 units high
- Class 9: 110÷20=5.5110 \div 20 = 5.5 units high
- Class 10: 80÷20=480 \div 20 = 4 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 =20= 20, Feb =30= 30, Mar =50= 50, Apr =70= 70, May =40= 40. 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 (7070 mm).

(b) Difference =7020=50= 70 - 20 = 50 mm (between April and January).

Solved Example 3: Choosing a Scale

Problem: Data values are 250,180,300,420,150250, 180, 300, 420, 150. What scale would you use for a bar graph?

Solution:
The range is 150150 to 420420. A scale of 11 unit =50= 50 works well:
- Smallest bar: 150÷50=3150 \div 50 = 3 units
- Tallest bar: 420÷50=8.4420 \div 50 = 8.4 units

This keeps all bars between 33 and 99 units, which fits nicely on paper.

Tip: Choose a scale that makes the tallest bar about 88-1010 units high.

Solved Example 4: Comparing Data from Bar Graphs

Problem: A bar graph shows the marks of 55 students: Anil =65= 65, Bina =80= 80, Chetan =72= 72, Deepa =90= 90, Esha =85= 85. (a) Who scored the highest? (b) How many scored above 7575?

Solution:
(a) Deepa scored the highest (9090).

(b) Students scoring above 7575: Bina (8080), Deepa (9090), Esha (8585) =3= 3 students.

Solved Example 5: Double Bar Graph

Problem: A school's results for two years are:

Class2024 Pass %2025 Pass %
685859090
778788282
880808888

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 (80%88%80\% \to 88\%, an increase of 88 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., 11 unit =10= 10)
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 00

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 11 unit =1000= 1000 people. If a bar is 4.54.5 units tall, how many people does it represent?

Solution:

4.5×1000=4500 people4.5 \times 1000 = 4500 \text{ people}

Answer: 45004500 people.

Solved Example 8: Creating Data for a Given Bar Graph

Problem: A bar graph shows 55 bars with heights 3,5,2,7,43, 5, 2, 7, 4 units respectively (scale: 11 unit =20= 20). Convert this to a data table.

Solution:

CategoryBar Height (units)Value
A333×20=603 \times 20 = 60
B555×20=1005 \times 20 = 100
C222×20=402 \times 20 = 40
D777×20=1407 \times 20 = 140
E444×20=804 \times 20 = 80

Exercise 3.4 — Introduction to Probability

Probability measures how likely an event is to occur, expressed as a number between 00 and 11.

Probability of an event=Number of favourable outcomesTotal number of outcomes\text{Probability of an event} = \frac{\text{Number of favourable outcomes}}{\text{Total number of outcomes}}

Solved Example 1: Coin Toss

Problem: A coin is tossed. What is the probability of getting heads?

Solution:
Total outcomes =2= 2 (Heads, Tails).
Favourable outcomes (Heads) =1= 1.

P(Heads)=12P(\text{Heads}) = \frac{1}{2}

Answer: 12\frac{1}{2} (or 0.50.5 or 50%50\%).

Solved Example 2: Rolling a Die

Problem: A die is thrown. What is the probability of getting a number greater than 44?

Solution:
Total outcomes =6= 6 (1,2,3,4,5,61, 2, 3, 4, 5, 6).
Favourable outcomes (greater than 44) =2= 2 (5,65, 6).

P(greater than 4)=26=13P(\text{greater than } 4) = \frac{2}{6} = \frac{1}{3}

Answer: 13\frac{1}{3}.

Solved Example 3: Drawing from a Bag

Problem: A bag has 55 red balls and 33 blue balls. What is the probability of drawing a blue ball?

Solution:
Total balls =5+3=8= 5 + 3 = 8.
Favourable (blue) =3= 3.

P(blue)=38P(\text{blue}) = \frac{3}{8}

Answer: 38\frac{3}{8}.

Solved Example 4: Impossible and Certain Events

Problem: A die is thrown. Find the probability of: (a) getting 77, (b) getting a number less than 77.

Solution:
(a) A die has numbers 11-66 only. Getting 77 is impossible.

P(7)=06=0P(7) = \frac{0}{6} = 0

(b) All numbers 11-66 are less than 77. This is a certain event.

P(less than 7)=66=1P(\text{less than } 7) = \frac{6}{6} = 1

Key facts:
- P=0P = 0 means the event is impossible.
- P=1P = 1 means the event is certain.
- 0P10 \leq P \leq 1 for any event.

Solved Example 5: Complementary Events

Problem: The probability of rain tomorrow is 25\frac{2}{5}. What is the probability of no rain?

Solution:

P(no rain)=1P(rain)=125=35P(\text{no rain}) = 1 - P(\text{rain}) = 1 - \frac{2}{5} = \frac{3}{5}

Key rule: P(event)+P(not event)=1P(\text{event}) + P(\text{not event}) = 1.

Answer: 35\frac{3}{5}.

Solved Example 6: Probability with Cards

Problem: From a well-shuffled pack of 5252 cards, one card is drawn. Find the probability of getting a king.

Solution:
Total cards =52= 52.
Kings in a pack =4= 4 (one of each suit).

P(king)=452=113P(\text{king}) = \frac{4}{52} = \frac{1}{13}

Answer: 113\frac{1}{13}.

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 =6= 6.
Even numbers: 2,4,62, 4, 6 \to favourable outcomes =3= 3.

P(even)=36=12P(\text{even}) = \frac{3}{6} = \frac{1}{2}

Answer: 12\frac{1}{2}.

Solved Example 8: Spinner Problem

Problem: A spinner has 88 equal sectors numbered 11 to 88. Find the probability of landing on: (a) a prime number, (b) a multiple of 33.

Solution:
(a) Prime numbers from 11-88: 2,3,5,72, 3, 5, 7 4\to 4 favourable outcomes.

P(prime)=48=12P(\text{prime}) = \frac{4}{8} = \frac{1}{2}

(b) Multiples of 33 from 11-88: 3,63, 6 2\to 2 favourable outcomes.

P(multiple of 3)=28=14P(\text{multiple of } 3) = \frac{2}{8} = \frac{1}{4}

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: {HH,HT,TH,TT}=4\{HH, HT, TH, TT\} = 4.

Favourable (at least one head): {HH,HT,TH}=3\{HH, HT, TH\} = 3.

P(at least one head)=34P(\text{at least one head}) = \frac{3}{4}

Alternative: P(at least one head)=1P(no head)=114=34P(\text{at least one head}) = 1 - P(\text{no head}) = 1 - \frac{1}{4} = \frac{3}{4}.

Answer: 34\frac{3}{4}.

Solved Example 10: Marble Problem

Problem: A jar contains 66 red, 44 green, and 55 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 =6+4+5=15= 6 + 4 + 5 = 15.

(a) P(green)=415P(\text{green}) = \frac{4}{15}.

(b) Non-yellow marbles =6+4=10= 6 + 4 = 10.

P(non-yellow)=1015=23P(\text{non-yellow}) = \frac{10}{15} = \frac{2}{3}

Answer: (a) 415\frac{4}{15}, (b) 23\frac{2}{3}.

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 ÷\div count. Median == middle value after sorting. Read the question carefully.

3. **Forgetting Median Formula for Even nn:**
* Mistake: Just picking one of the two middle values when nn is even.
* Fix: For even nn, median =two middle values2= \frac{\text{two middle values}}{2}.

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 53\frac{5}{3}.
* Fix: Probability must be between 00 and 11. If you get a value >1> 1, recheck your work.

7. Confusing Favourable and Total Outcomes:
* Mistake: Putting total outcomes in the numerator.
* Fix: Probability =favourabletotal= \frac{\text{favourable}}{\text{total}}. Favourable is ALWAYS \leq 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 nn
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 14,18,22,16,2014, 18, 22, 16, 20.

Problem 2: The mean of 77 numbers is 1111. Six of the numbers are 8,13,15,9,10,128, 13, 15, 9, 10, 12. Find the 77th number.

Problem 3: Find the mode and median of 3,5,7,5,3,5,8,5,93, 5, 7, 5, 3, 5, 8, 5, 9.

Problem 4: A die is rolled. Find the probability of getting a number divisible by 33.

Problem 5: A bag has 33 red, 55 blue, and 22 green balls. Find the probability of NOT drawing a blue ball.

Problem 6: The mean of 55 observations is 88. If each observation is multiplied by 22, what is the new mean?

Answers to Practice Problems

Answer 1: 14+18+22+16+205=905=18\frac{14 + 18 + 22 + 16 + 20}{5} = \frac{90}{5} = 18.

Answer 2: Sum of 77 numbers =11×7=77= 11 \times 7 = 77. Sum of 66 given numbers =8+13+15+9+10+12=67= 8 + 13 + 15 + 9 + 10 + 12 = 67. The 77th number =7767=10= 77 - 67 = 10.

Answer 3: Arrange: 3,3,5,5,5,5,7,8,93, 3, 5, 5, 5, 5, 7, 8, 9. Mode =5= 5 (appears 44 times). n=9n = 9, median =5= 5th value =5= 5.

Answer 4: Numbers divisible by 33: 3,63, 6 2\to 2 out of 66. P=26=13P = \frac{2}{6} = \frac{1}{3}.

Answer 5: Total =10= 10, non-blue =3+2=5= 3 + 2 = 5. P(not blue)=510=12P(\text{not blue}) = \frac{5}{10} = \frac{1}{2}.

Answer 6: When each observation is multiplied by kk, the mean is also multiplied by kk. New mean =8×2=16= 8 \times 2 = 16.

Quick Revision: All Formulas at a Glance

Arithmetic Mean:

Mean=Sum of all observationsNumber of observations\text{Mean} = \frac{\text{Sum of all observations}}{\text{Number of observations}}

**Mean of first nn natural numbers:** n+12\frac{n+1}{2}.

Mode: The observation with the highest frequency. A data set can have 00, 11, or multiple modes.

**Median (odd nn):** (n+12)\left(\frac{n+1}{2}\right)th observation after sorting.

**Median (even nn):** Average of (n2)\left(\frac{n}{2}\right)th and (n2+1)\left(\frac{n}{2}+1\right)th observations.

Range: Maximum value - Minimum value.

Probability:

P(E)=Number of favourable outcomesTotal number of outcomesP(E) = \frac{\text{Number of favourable outcomes}}{\text{Total number of outcomes}}

  • 0P(E)10 \leq P(E) \leq 1
    - P(E)+P(not E)=1P(E) + P(\text{not } E) = 1
    - P(impossible event)=0P(\text{impossible event}) = 0
    - P(certain event)=1P(\text{certain event}) = 1

Effect on Mean:
- Adding kk to each observation: new mean =old mean+k= \text{old mean} + k.
- Multiplying each observation by kk: new mean =k×old mean= k \times \text{old 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 3×\approx 3 \times Median 2×- 2 \times 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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