Solved Examples

NCERT Solutions for Class 6 Maths Chapter 4: Data Handling and Presentation — Complete Guide

Complete step-by-step solutions for all exercises in NCERT Class 6 Maths Chapter 4. Learn to collect, organise, and represent data using tally marks, frequency tables, pictographs, and bar graphs with detailed explanations and practice problems.

CBSEClass 6
The SparkEd Authors (IITian & Googler)15 March 202650 min read
NCERT Solutions Class 6 Maths Chapter 4 Data Handling And Presentation — SparkEd

Why This Chapter Matters: Data Is Everywhere

We live in the age of data. Every day, you encounter data in newspapers, on TV, on social media, and in everyday conversations. "India scored 350350 runs," "The temperature today is 3232^\circC," "Our school has 1,2001{,}200 students" — all of these are data. But raw numbers alone do not tell a story. The skill of collecting, organising, and presenting data in a clear and meaningful way is what turns numbers into knowledge.

Chapter 4 of the NCERT Class 6 Maths textbook (2024-25 edition) teaches you exactly this. You will learn how to take messy, unorganised information and transform it into neat frequency tables, vivid pictographs, and clear bar graphs that anyone can understand at a glance.

Why should you care about data handling?

It is a life skill. Whether you become a scientist, a businessperson, a doctor, or a teacher, you will need to collect and interpret data. Understanding graphs and charts is essential for reading newspapers, understanding election results, tracking sports statistics, and making informed decisions.

It develops critical thinking. When you look at a bar graph, you need to ask: What does this graph tell me? What does it NOT tell me? Could the data be misleading? These are critical thinking skills that go far beyond mathematics.

It connects to higher mathematics. Data handling in Class 6 is the foundation for statistics and probability, which you will study in depth in Classes 9 and 10. The concepts of mean, median, mode, and probability all build on what you learn here.

It is highly scoring in exams. Data handling questions are usually straightforward — if you can read a graph and do basic arithmetic, you can score full marks. The key is being systematic and careful with numbers.

In this comprehensive guide, we solve every exercise from Chapter 4, explain the concepts in depth, and give you plenty of practice to build confidence.

Key Concepts and Definitions

Let us establish the vocabulary and concepts you need for this chapter.

What Is Data?

Data is a collection of facts, numbers, or information gathered for a purpose. Data can be:

Qualitative (categorical): Describes qualities or categories that cannot be measured numerically. Examples: favourite colour (red, blue, green), mode of transport (bus, car, bicycle), type of pet (dog, cat, fish).

Quantitative (numerical): Consists of numbers that can be measured or counted. Examples: height (145145 cm), marks (8787 out of 100100), number of siblings (22).

Raw data is data that has not been organised or processed. For example, a list of 3030 students' favourite fruits written in the order they were asked is raw data. It is hard to draw conclusions from raw data — you need to organise it first.

Organising Data: Tally Marks and Frequency Tables

Tally marks are a quick way to count occurrences. Each occurrence gets one mark (|). Every fifth mark crosses the previous four (\cancel{||||}), making it easy to count in groups of 55.

A frequency table lists each category (or value) along with how often it occurs (its frequency).

Example: If students' favourite sports are Cricket, Football, Cricket, Tennis, Cricket, Football, Football, Cricket, Tennis, Cricket, the frequency table is:

SportTallyFrequency
Cricket$\cancel{}$55
Football$$33
Tennis$$22
Total**1010**

The total of all frequencies must equal the total number of data points — this is your verification check.

Pictographs

A pictograph uses pictures or symbols to represent data. Each symbol represents a fixed number of items.

Key elements of a pictograph:
1. Title — tells you what the pictograph is about.
2. Categories — listed in a column or row.
3. Symbols — pictures representing data values.
4. Key (legend) — tells you how many items each symbol represents.

Reading a pictograph: Count the symbols for each category and multiply by the key value.

Drawing a pictograph: Divide each data value by the key value to find how many symbols to draw. If the division is not exact, use a fraction of a symbol (half symbol, quarter symbol).

Choosing the key: The key should be chosen so that the number of symbols is manageable — not too many and not too few. Common choices: 1,2,5,10,50,1001, 2, 5, 10, 50, 100 items per symbol.

Bar Graphs

A bar graph uses rectangular bars of equal width to represent data. The height (or length) of each bar is proportional to the value it represents.

Key elements of a bar graph:
1. Title — describes what the graph shows.
2. Horizontal axis (x-axis) — shows categories.
3. Vertical axis (y-axis) — shows numerical values (with a scale).
4. Bars — rectangles of equal width, with heights proportional to data values.
5. Scale — the numbering on the y-axis (e.g., 11 unit = 1010 students).
6. Gaps — equal spaces between bars.

Advantages of bar graphs over pictographs:
- More precise (you can read exact values from the scale).
- Easier to compare categories (bar heights are easy to compare visually).
- Can handle larger data values without becoming unwieldy.
- No need for fractional symbols.

Choosing the Right Scale

The scale of a bar graph determines how the y-axis is numbered. Choosing the right scale is important:

  • If data values range from 00 to 5050, a scale of 11 unit =5= 5 works well (y-axis: 0,5,10,15,,500, 5, 10, 15, \ldots, 50).
    - If values range from 00 to 500500, use 11 unit =50= 50 or 11 unit =100= 100.
    - The scale should start at 00 and go up to at least the largest data value.
    - All bars should fit comfortably in the available space.

Common mistake: Not starting the y-axis at 00. This can make small differences look large and is considered misleading.

Exercise 4.1 — Collecting and Organising Data

Exercise 4.1 covers how to collect raw data and organise it into frequency tables using tally marks. The key skill is being methodical — go through the raw data one item at a time, making a tally mark for each.

Solved Example 1: Making a Frequency Table

Problem: The following are the favourite colours of 2020 students: Red, Blue, Green, Red, Blue, Red, Green, Blue, Red, Yellow, Blue, Red, Green, Red, Blue, Yellow, Green, Red, Blue, Red.

Organise this data into a frequency table using tally marks.

Solution:

Step 1: Go through the list one by one, making a tally mark for each colour.

Step 2: Count the tally marks for each colour.

ColourTally MarksFrequency
Red$\cancel{}$88
Blue$\cancel{}$66
Green$$44
Yellow$$22
Total**2020**

Step 3: Verify: 8+6+4+2=208 + 6 + 4 + 2 = 20 \checkmark

Observations:
- Red is the most popular colour (88 students) — this is called the mode.
- Yellow is the least popular (22 students).
- More than half the students chose either Red or Blue.

Answer: Frequency table completed. Red is the most popular colour with 88 votes.

Solved Example 2: Interpreting a Frequency Table

Problem: A survey shows the number of siblings students have:

Siblings0011223344
Students551212883322

(a) How many students were surveyed?
(b) What is the most common number of siblings?
(c) How many students have 22 or more siblings?

Solution:

(a) Total students =5+12+8+3+2=30= 5 + 12 + 8 + 3 + 2 = 30.

(b) The highest frequency is 1212, corresponding to 11 sibling. So having 11 sibling is most common.

(c) Students with 22 or more siblings =8+3+2=13= 8 + 3 + 2 = 13.

Answer: (a) 3030 students (b) 11 sibling (most common) (c) 1313 students.

Solved Example 3: Organising Marks Data

Problem: The marks obtained by 2525 students in a test (out of 1010) are: 7,5,8,6,9,7,8,5,6,7,8,9,10,6,7,5,8,7,6,9,7,8,6,7,87, 5, 8, 6, 9, 7, 8, 5, 6, 7, 8, 9, 10, 6, 7, 5, 8, 7, 6, 9, 7, 8, 6, 7, 8.

Prepare a frequency table.

Solution:

MarksTallyFrequency
55$$33
66$\cancel{}$55
77$\cancel{}$77
88$\cancel{}$66
99$$33
1010$$11
Total**2525**

Verification: 3+5+7+6+3+1=253 + 5 + 7 + 6 + 3 + 1 = 25 \checkmark

Observations:
- The most common mark is 77 (frequency 77) — this is the mode.
- Only 11 student scored full marks (1010).
- 1616 students (7+6+37 + 6 + 3) scored 77 or above.

Answer: Frequency table completed. Mode =7= 7.

Solved Example 4: Grouped Frequency Table

Problem: The heights (in cm) of 2020 students are: 132,148,155,140,138,152,145,160,142,157,135,150,143,148,158,139,147,153,141,156132, 148, 155, 140, 138, 152, 145, 160, 142, 157, 135, 150, 143, 148, 158, 139, 147, 153, 141, 156.

Organise this data into groups of width 55 cm.

Solution:

Height (cm)TallyFrequency
130130-134134$$11
135135-139139$$33
140140-144144$$44
145145-149149$$44
150150-154154$$44
155155-159159$$33
160160-164164$$11
Total**2020**

Verification: 1+3+4+4+4+3+1=201 + 3 + 4 + 4 + 4 + 3 + 1 = 20 \checkmark

Why group data? When data has many different values, listing each one separately makes the table too long. Grouping gives a clearer picture of how the data is distributed.

Answer: Grouped frequency table completed. Most students (1212 out of 2020) have heights between 140140 and 154154 cm.

Solved Example 5: Finding Mode from a Table

Problem: The number of goals scored by a football team in 2020 matches is given:

Goals001122334455
Matches335566441111

Find (a) the total goals scored, (b) the mode, (c) the number of matches with fewer than 33 goals.

Solution:

(a) Total goals =0×3+1×5+2×6+3×4+4×1+5×1= 0 \times 3 + 1 \times 5 + 2 \times 6 + 3 \times 4 + 4 \times 1 + 5 \times 1
=0+5+12+12+4+5=38= 0 + 5 + 12 + 12 + 4 + 5 = 38 goals.

(b) The highest frequency is 66 (for 22 goals). Mode =2= 2 goals.

(c) Matches with fewer than 33 goals: 3+5+6=143 + 5 + 6 = 14 matches.

Answer: (a) 3838 goals (b) Mode =2= 2 (c) 1414 matches.

Solved Example 6: Conducting Your Own Survey

Problem: Describe how you would collect data on the favourite subjects of students in your class.

Solution:

Step 1: Define the question. "What is your favourite school subject?"

Step 2: List the categories. Maths, Science, English, Social Studies, Hindi, Art/Music, Sports.

Step 3: Collect data. Ask each student and record their answer. Use tally marks on a pre-drawn table.

Step 4: Count and verify. Count tally marks for each subject. Verify that the total equals the number of students asked.

Step 5: Organise into a frequency table.

SubjectTallyFrequency
Maths$\cancel{}$77
Science$\cancel{}$55
English$$44
.........

Step 6: Present. Draw a pictograph or bar graph to present your findings.

Tips for good data collection:
- Ask everyone the same question.
- Each person gives exactly one answer.
- Record responses immediately (do not rely on memory).
- Do not influence the answers ("Don't you think Maths is the best?").

Answer: Steps described for conducting a survey on favourite subjects.

Solved Example 7: Two-Way Frequency Table

Problem: In a class of 3030 students, 1818 like cricket and 1515 like football. If 88 like both, how many like neither?

Solution:

Using the inclusion-exclusion principle:

Students who like at least one sport == (Cricket) ++ (Football) - (Both)
=18+158=25= 18 + 15 - 8 = 25

Students who like neither == Total - At least one
=3025=5= 30 - 25 = 5

Like FootballDon't Like FootballTotal
Like Cricket8810101818
Don't Like Cricket77551212
Total151515153030

Answer: 55 students like neither sport.

Solved Example 8: Mean (Average) from a Frequency Table

Problem: Find the mean of the data:

Value (xx)224466881010
Frequency (ff)3355774411

Solution:

Mean =f×xf= \frac{\sum f \times x}{\sum f}

f×x=2(3)+4(5)+6(7)+8(4)+10(1)\sum f \times x = 2(3) + 4(5) + 6(7) + 8(4) + 10(1)
=6+20+42+32+10=110= 6 + 20 + 42 + 32 + 10 = 110

f=3+5+7+4+1=20\sum f = 3 + 5 + 7 + 4 + 1 = 20

Mean =11020=5.5= \frac{110}{20} = 5.5

Answer: The mean is 5.55.5.

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Exercise 4.2 — Pictographs

Exercise 4.2 teaches you to read and draw pictographs. Pictographs are visually appealing and easy to understand, making them ideal for presenting data to a general audience. The key skill is understanding the key (legend) — each symbol represents a fixed number of items.

Solved Example 1: Reading a Pictograph

Problem: A pictograph shows the number of books read by students in a month, where each symbol represents 22 books.

  • Anu: 4 symbols
    - Bina: 3 symbols
    - Charu: 5 symbols
    - Dev: 2 symbols

(a) How many books did each student read? (b) Who read the most? (c) Total books read?

Solution:

Since each symbol =2= 2 books:

(a)
- Anu: 4×2=84 \times 2 = 8 books
- Bina: 3×2=63 \times 2 = 6 books
- Charu: 5×2=105 \times 2 = 10 books
- Dev: 2×2=42 \times 2 = 4 books

(b) Charu read the most (1010 books).

(c) Total =8+6+10+4=28= 8 + 6 + 10 + 4 = 28 books.

Answer: (a) Anu: 88, Bina: 66, Charu: 1010, Dev: 44. (b) Charu. (c) 2828 books.

Solved Example 2: Pictograph with Half Symbols

Problem: A pictograph shows the number of cars sold by a dealer each month. Each symbol represents 1010 cars.

  • January: 3 symbols
    - February: 2.5 symbols
    - March: 4 symbols
    - April: 3.5 symbols

How many cars were sold each month? What is the total?

Solution:

  • January: 3×10=303 \times 10 = 30 cars
    - February: 2.5×10=252.5 \times 10 = 25 cars
    - March: 4×10=404 \times 10 = 40 cars
    - April: 3.5×10=353.5 \times 10 = 35 cars

Total =30+25+40+35=130= 30 + 25 + 40 + 35 = 130 cars.

Note: The half symbol (0.50.5) represents 55 cars (half of the key value 1010).

Answer: January: 3030, February: 2525, March: 4040, April: 3535. Total: 130130 cars.

Solved Example 3: Drawing a Pictograph

Problem: Draw a pictograph for the following data using a key of 11 symbol =5= 5 students.

Favourite FruitStudents
Apple2020
Banana1515
Mango3030
Orange1010
Grapes2525

Solution:

Divide each value by 55 to find the number of symbols:
- Apple: 20÷5=420 \div 5 = 4 symbols
- Banana: 15÷5=315 \div 5 = 3 symbols
- Mango: 30÷5=630 \div 5 = 6 symbols
- Orange: 10÷5=210 \div 5 = 2 symbols
- Grapes: 25÷5=525 \div 5 = 5 symbols

Favourite Fruits of Students (Key: each symbol =5= 5 students)

FruitSymbols
Apple\star \star \star \star
Banana\star \star \star
Mango\star \star \star \star \star \star
Orange\star \star
Grapes\star \star \star \star \star

At a glance, you can see Mango is the most popular and Orange is the least popular.

Answer: Pictograph drawn with key: 11 symbol =5= 5 students.

Solved Example 4: Choosing the Right Key

Problem: The number of trees planted by four classes is: Class A: 4242, Class B: 3636, Class C: 5454, Class D: 4848. Choose an appropriate key and draw a pictograph.

Solution:

Step 1: Look at the data values: 42,36,54,4842, 36, 54, 48. All are multiples of 66.

Step 2: Choose key: 11 symbol =6= 6 trees.

Step 3: Calculate symbols:
- Class A: 42÷6=742 \div 6 = 7 symbols
- Class B: 36÷6=636 \div 6 = 6 symbols
- Class C: 54÷6=954 \div 6 = 9 symbols
- Class D: 48÷6=848 \div 6 = 8 symbols

Alternative key: 11 symbol =12= 12 trees would give 3.5,3,4.5,43.5, 3, 4.5, 4 symbols — this works too, using half symbols.

Answer: Key of 66 trees per symbol works well, giving 7,6,9,87, 6, 9, 8 symbols respectively.

Solved Example 5: Comparing Data from Pictographs

Problem: Two pictographs show the production of two factories. Factory A produces 200200 units (shown with 44 symbols) and Factory B produces 350350 units (shown with 77 symbols). What is the key? How many more units does Factory B produce?

Solution:

Factory A: 44 symbols =200= 200 units, so each symbol =2004=50= \frac{200}{4} = 50 units.

Verify with Factory B: 7×50=3507 \times 50 = 350 units. \checkmark

Difference: 350200=150350 - 200 = 150 units (or 33 symbols).

Answer: Key: 11 symbol =50= 50 units. Factory B produces 150150 units more.

Solved Example 6: Limitations of Pictographs

Problem: Why might a pictograph not be suitable for the data: City A population =2,350,000= 2{,}350{,}000, City B =1,780,000= 1{,}780{,}000, City C =3,120,000= 3{,}120{,}000?

Solution:

With a key of 11 symbol =100,000= 100{,}000 people:
- City A: 23.523.5 symbols
- City B: 17.817.8 symbols
- City C: 31.231.2 symbols

This requires drawing many symbols AND using fractional symbols that are hard to draw precisely.

A bar graph would be much more suitable for this data because:
1. You can use a scale on the y-axis to represent large numbers precisely.
2. There is no need for fractional symbols.
3. The exact values can be read from the scale.

Answer: A pictograph is impractical for large numbers with non-round values. A bar graph is more appropriate.

Exercise 4.3 — Bar Graphs: Reading and Interpretation

Exercise 4.3 focuses on reading and interpreting bar graphs. This is a crucial skill — bar graphs are the most common way data is presented in textbooks, newspapers, and reports. You need to be able to extract specific values, compare categories, and draw conclusions from bar graphs.

Solved Example 1: Reading Values from a Bar Graph

Problem: A bar graph shows the marks scored by five students. The y-axis scale goes from 00 to 100100 in steps of 1010. The bars show: Asha (7070), Bala (8585), Chitra (6060), Deepak (9090), Esha (7575). Answer the following:

(a) Who scored the highest? (b) Who scored the lowest? (c) What is the difference between the highest and lowest marks? (d) How many students scored above 7070?

Solution:

(a) Deepak scored the highest: 9090 marks.

(b) Chitra scored the lowest: 6060 marks.

(c) Difference =9060=30= 90 - 60 = 30 marks.

(d) Students scoring above 7070: Bala (8585), Deepak (9090), Esha (7575) =3= 3 students.

Note: Asha scored exactly 7070, which is NOT above 7070.

Answer: (a) Deepak (9090) (b) Chitra (6060) (c) 3030 marks (d) 33 students.

Solved Example 2: Scale Interpretation

Problem: In a bar graph, the y-axis shows values 0,20,40,60,80,1000, 20, 40, 60, 80, 100. A bar reaches up to the line between 6060 and 8080. What value does this bar represent?

Solution:

The line between 6060 and 8080 is at 60+802=70\frac{60 + 80}{2} = 70.

So the bar represents 7070.

Tip: When a bar falls between two gridlines, estimate the value by looking at where it falls. If it is exactly halfway, take the average. If it is closer to one gridline, adjust accordingly.

Answer: The bar represents 7070.

Solved Example 3: Comparing Categories from a Bar Graph

Problem: A bar graph shows the number of students in five different clubs:

ClubMembers
Science4545
Music3030
Sports5555
Art2525
Drama3535

(a) Which club has the most members? (b) How many more members does Sports have than Art? (c) What is the total membership across all clubs? (d) What fraction of total members are in the Science club?

Solution:

(a) Sports club has the most members: 5555.

(b) Difference =5525=30= 55 - 25 = 30 more members.

(c) Total =45+30+55+25+35=190= 45 + 30 + 55 + 25 + 35 = 190 members.

(d) Fraction in Science =45190=938= \frac{45}{190} = \frac{9}{38}.

Answer: (a) Sports (5555) (b) 3030 more (c) 190190 (d) 938\frac{9}{38}.

Solved Example 4: Identifying Trends from Bar Graphs

Problem: A bar graph shows a city's monthly rainfall (in mm) for January through June: 10,15,30,55,80,12010, 15, 30, 55, 80, 120. Describe the trend.

Solution:

The rainfall increases every month:
- Jan to Feb: +5+5 mm
- Feb to Mar: +15+15 mm
- Mar to Apr: +25+25 mm
- Apr to May: +25+25 mm
- May to Jun: +40+40 mm

Trend: The rainfall shows a steadily increasing trend from January to June, with the rate of increase also growing. This is consistent with the approach of the monsoon season.

The total rainfall over six months: 10+15+30+55+80+120=31010 + 15 + 30 + 55 + 80 + 120 = 310 mm.

June alone accounts for 12031038.7%\frac{120}{310} \approx 38.7\% of the total.

Answer: Rainfall increases steadily, with June having the highest rainfall (120120 mm).

Solved Example 5: Horizontal Bar Graphs

Problem: A horizontal bar graph shows the production of wheat (in thousands of tonnes) by five states. The x-axis goes from 00 to 300300 in steps of 5050. State A's bar extends to 250250, State B to 175175, State C to 200200, State D to 125125, State E to 300300.

(a) Which state produces the most wheat? (b) What is the combined production of States B and D? (c) How much more does State E produce than State A?

Solution:

(a) State E produces the most: 300300 thousand tonnes.

(b) Combined =175+125=300= 175 + 125 = 300 thousand tonnes (same as State E alone!).

(c) Difference =300250=50= 300 - 250 = 50 thousand tonnes.

Answer: (a) State E (300300 thousand tonnes) (b) 300300 thousand tonnes (c) 5050 thousand tonnes.

Solved Example 6: Misleading Bar Graphs

Problem: A bar graph shows Company A's sales as 100100 units and Company B's sales as 110110 units. But the y-axis starts at 9595 instead of 00. Why is this misleading?

Solution:

When the y-axis starts at 9595:
- Company A's bar height is 10095=5100 - 95 = 5 units tall.
- Company B's bar height is 11095=15110 - 95 = 15 units tall.

Company B's bar appears three times as tall as Company A's, even though its sales are only 10%10\% higher (110110 vs. 100100).

If the y-axis started at 00:
- Company A's bar would be 100100 units tall.
- Company B's bar would be 110110 units tall.

Company B's bar would be only 10%10\% taller — a much more accurate visual representation.

Lesson: Always check if the y-axis starts at 00. A truncated axis can make small differences look dramatic.

Answer: Starting the y-axis at 9595 instead of 00 exaggerates the visual difference between the two companies.

Exercise 4.4 — Drawing Bar Graphs

Exercise 4.4 requires you to draw bar graphs from given data. Drawing accurate bar graphs is a skill that requires attention to detail — choosing the right scale, drawing bars of equal width, maintaining equal gaps, and labelling correctly.

Solved Example 1: Drawing a Bar Graph Step by Step

Problem: Draw a bar graph for the following data:

Mode of TransportStudents
Bus4040
Car2525
Bicycle1515
Walk3030
Auto1010

Solution:

Step 1: Choose the scale. Data ranges from 1010 to 4040. A scale of 11 unit =5= 5 students works well. Y-axis: 0,5,10,15,20,25,30,35,400, 5, 10, 15, 20, 25, 30, 35, 40.

Step 2: Draw the axes. Horizontal axis for modes of transport. Vertical axis for number of students.

Step 3: Label the axes. X-axis: "Mode of Transport." Y-axis: "Number of Students." Title: "Modes of Transport Used by Students."

Step 4: Draw the bars. Each bar has equal width (say, 11 cm) with equal gaps (say, 0.50.5 cm).
- Bus: bar height =40= 40 (reaches the 4040 line)
- Car: bar height =25= 25
- Bicycle: bar height =15= 15
- Walk: bar height =30= 30
- Auto: bar height =10= 10

Step 5: Verify. Check that each bar height matches the data value. Ensure all bars have the same width and equal spacing.

Answer: Bar graph drawn with 55 bars, scale of 55 students per unit.

Solved Example 2: Choosing the Right Scale for Large Values

Problem: Draw a bar graph for the population of five cities (in thousands): Delhi (200200), Mumbai (180180), Bangalore (120120), Chennai (9090), Kolkata (150150).

Solution:

Data ranges from 9090 to 200200 (in thousands). Choose scale: 11 unit =20= 20 thousand.

Y-axis labels: 0,20,40,60,80,100,120,140,160,180,2000, 20, 40, 60, 80, 100, 120, 140, 160, 180, 200.

Bar heights:
- Delhi: 200200 (top of scale)
- Mumbai: 180180
- Bangalore: 120120
- Chennai: 9090 (between 8080 and 100100 gridlines)
- Kolkata: 150150 (between 140140 and 160160)

Tip for Chennai: Since 9090 falls between gridlines, carefully estimate its position (halfway between 8080 and 100100).

Answer: Bar graph drawn with scale of 2020 thousand per unit.

Solved Example 3: Double Bar Graph

Problem: The marks of 55 students in Maths and Science are:

StudentMathsScience
Anu80807070
Bala65657575
Chitra90908585
Dev75758080
Esha85859090

Draw a double bar graph and compare.

Solution:

A double bar graph shows two bars side by side for each category, using different colours or patterns.

Scale: 11 unit =10= 10 marks. Y-axis: 0,10,20,,1000, 10, 20, \ldots, 100.

For each student, draw two bars:
- Maths bar (e.g., blue): heights 80,65,90,75,8580, 65, 90, 75, 85
- Science bar (e.g., orange): heights 70,75,85,80,9070, 75, 85, 80, 90

Observations:
- Anu and Chitra scored higher in Maths than Science.
- Bala, Dev, and Esha scored higher in Science than Maths.
- Chitra has the highest Maths score (9090).
- Esha has the highest Science score (9090).

Include a legend showing which colour represents Maths and which represents Science.

Answer: Double bar graph drawn comparing Maths and Science marks.

Solved Example 4: Bar Graph from a Survey

Problem: A class survey on favourite sports gave: Cricket (1515), Football (1212), Basketball (88), Tennis (55), Badminton (1010). Draw a bar graph and answer: What percentage of students chose Cricket?

Solution:

Total students =15+12+8+5+10=50= 15 + 12 + 8 + 5 + 10 = 50.

Scale: 11 unit =2= 2 students. Y-axis: 0,2,4,6,8,10,12,14,160, 2, 4, 6, 8, 10, 12, 14, 16.

Percentage choosing Cricket =1550×100=30%= \frac{15}{50} \times 100 = 30\%.

Answer: 30%30\% of students chose Cricket. Bar graph drawn with appropriate scale.

Solved Example 5: Reading Between the Lines

Problem: A bar graph shows monthly sales. January: 5050, February: 4545, March: 6060, April: 5555, May: 7070, June: 6565. In which months did sales increase compared to the previous month?

Solution:

Compare each month to the previous:
- Feb (4545) vs. Jan (5050): Decrease (5-5)
- Mar (6060) vs. Feb (4545): Increase (+15+15)
- Apr (5555) vs. Mar (6060): Decrease (5-5)
- May (7070) vs. Apr (5555): Increase (+15+15)
- Jun (6565) vs. May (7070): Decrease (5-5)

Answer: Sales increased in March and May.

Common Mistakes and How to Avoid Them

Here are the most frequent errors students make in data handling problems:

1. Tally Mark Counting Errors
* Mistake: Miscounting tally marks, especially when crossing groups of five.
* Fix: After tallying, count each group of \cancel{||||} as 55, add any remaining individual marks, and verify the total matches the number of data points.

2. Forgetting to Verify the Total
* Mistake: Not checking that frequencies sum to the total number of data points.
* Fix: ALWAYS add up all frequencies and confirm they equal the total. This is your safety check.

3. Wrong Key/Scale in Pictographs
* Mistake: Multiplying by the wrong number when reading a pictograph.
* Fix: Always read the key/legend carefully before interpreting the data. If the key says 11 symbol =10= 10 items, multiply the number of symbols by 1010.

4. Unequal Bar Widths or Gaps
* Mistake: Drawing bars of different widths, which makes the graph misleading.
* Fix: All bars must have the same width. All gaps between bars must be equal. Use a ruler and plan your spacing before drawing.

5. Wrong Scale on Bar Graph
* Mistake: Choosing a scale that makes bars too tall or too short.
* Fix: Look at the data range. The scale should give bars between 22 cm and 1515 cm tall. If your largest bar would be 3030 cm, increase the scale.

6. Not Starting Y-Axis at Zero
* Mistake: Starting the y-axis at a non-zero value without indicating it.
* Fix: Always start at 00. If values are very large and you need to truncate, use a zigzag break (\sim\sim\sim) on the axis to show the break.

7. Misinterpreting Half Symbols in Pictographs
* Mistake: Ignoring half symbols or treating them as full symbols.
* Fix: A half symbol represents half the key value. So if 11 symbol =10= 10, a half symbol =5= 5.

Exam Strategy: Scoring Full Marks in Data Handling

Data handling questions are among the most straightforward in the exam. Follow these strategies to ensure you get every mark:

For Frequency Table Questions:
1. Go through the raw data one item at a time — do not skip or rush.
2. Use tally marks (they prevent counting errors).
3. After completing the table, verify that all frequencies sum to the total.
4. If asked for observations, mention the mode (most frequent value) and any interesting comparisons.

For Pictograph Questions:
1. First read the key — what does each symbol represent?
2. Count symbols carefully (including half symbols).
3. Multiply by the key value.
4. For drawing: choose a key that avoids too many or too few symbols (33-88 symbols per category is ideal).

For Bar Graph Reading Questions:
1. Read the scale on the y-axis first.
2. For values between gridlines, estimate carefully.
3. Answer exactly what is asked — "highest," "lowest," "difference," "total."
4. Double-check arithmetic for sums and differences.

For Bar Graph Drawing Questions:
1. Choose an appropriate scale based on the data range.
2. Draw axes with a ruler and label them clearly.
3. Add a title.
4. Make bars of equal width with equal gaps.
5. If possible, verify by re-reading values from your completed graph.

Time Management: Frequency table questions take 33-55 minutes. Pictograph and bar graph questions take 55-88 minutes. Drawing a bar graph may take 1010 minutes — plan accordingly.

Practice on SparkEd's Data Handling page for a variety of data interpretation problems.

Practice Problems — Try These Yourself

Test your data handling skills with these problems:

Problem 1: The blood groups of 3030 students are: A, B, O, A, AB, B, O, A, B, B, A, O, AB, A, B, O, A, B, A, O, B, A, O, AB, B, A, O, B, A, O. Prepare a frequency table.

Problem 2: A pictograph shows production of rice in four states. The key is 11 symbol =1000= 1000 tonnes. State P has 5.55.5 symbols. How many tonnes does State P produce?

Problem 3: Draw a bar graph for the number of rainy days in each month: Jan (22), Feb (11), Mar (33), Apr (55), May (88), Jun (1515).

Problem 4: From the bar graph: heights of 55 plants are 12,18,15,20,1012, 18, 15, 20, 10 cm. Find the mean height.

Problem 5: A class of 4040 students was asked about their favourite season. Summer: 1212, Winter: 88, Rainy: 66, Spring: 1414. How many chose Rainy season? What percentage chose Spring?

Problem 6: The runs scored by a batsman in 66 innings are 45,78,32,56,91,6745, 78, 32, 56, 91, 67. Represent this data as a bar graph with an appropriate scale.

Problem 7: In a double bar graph showing boys and girls in five classes, Class A has 2020 boys and 1818 girls, Class B has 1515 boys and 2222 girls. How many more girls than boys are in Class B?

Problem 8: Explain why a pictograph with key 11 symbol =7= 7 items might be inconvenient. Suggest better key values.

Problem 9: A bar graph's y-axis starts at 5050 instead of 00. The bars show values 5555, 6060, 5858, 6565. Why might this graph give a misleading impression?

Problem 10: Collect data from 2020 classmates about their favourite school lunch item. Create a frequency table and draw a bar graph.

Quick Revision Notes

Data Types:
- Qualitative: categories (colours, names, types)
- Quantitative: numbers (marks, heights, counts)

Organising Data:
- Tally marks: groups of 55 (\cancel{||||})
- Frequency = how many times a value occurs
- Always verify: sum of frequencies = total data points

Pictograph Rules:
- Each symbol represents a fixed number of items (key)
- Half symbol = half the key value
- Choose key so that number of symbols is manageable (33-88 per category)

Bar Graph Rules:
- Equal width bars with equal gaps
- Y-axis starts at 00 (or use zigzag break)
- Scale should fit the data range
- Must have: title, labelled axes, scale

Comparing Pictographs vs. Bar Graphs:
| Feature | Pictograph | Bar Graph |
|---------|------------|----------|
| Visual appeal | High | Moderate |
| Precision | Low (half symbols) | High (scale) |
| Large data | Impractical | Suitable |
| Drawing effort | Moderate | Low-Moderate |

Key Formulas:
- Mean = Sum of all valuesNumber of values\frac{\text{Sum of all values}}{\text{Number of values}}
- Percentage = PartTotal×100\frac{\text{Part}}{\text{Total}} \times 100
- Mode = most frequent value

Boost Your Preparation with SparkEd

You have now mastered every exercise in Chapter 4. Data handling is one of the most practical chapters — the skills you learn here will serve you in every subject and in real life.

Here is how SparkEd can help:

  • Practice by Difficulty: On our Data Handling practice page, work through Level 1, 2, and 3 problems.
  • AI Math Solver: Struggling with a bar graph question or frequency calculation? Paste it into our AI Solver for a clear step-by-step solution.
  • AI Coach: Get personalised recommendations on which concepts need more practice.
  • Cross-Topic Connections: Data handling connects to Patterns in Mathematics (spotting patterns in data). Explore all chapters on our programs page.

Visit sparkedmaths.com and start practising today!

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