CBSE Class 8 Mathematics Data Handling Assignment Set 10

School Assignments for Class 8 Mathematics: Chapter 05 Data Handling

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Practice Class 8 Mathematics Assignments: Chapter 05 Data Handling

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Question. The following data represent the production of Hundai - Santros Vehicles in Delhi in various months. Represents this data in the form of pictograph.

MonthsJanFebMarchAprilMayJune
No. of Production300250400300150350


Answer:
To represent the data in the form of a pictograph, let one vehicle symbol ๐Ÿš— represent \( 50 \) vehicles.
The number of symbols required for each month is calculated below:

  • Jan: \( \frac{300}{50} = 6 \) symbols (๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš—)
  • Feb: \( \frac{250}{50} = 5 \) symbols (๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš—)
  • March: \( \frac{400}{50} = 8 \) symbols (๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš—)
  • April: \( \frac{300}{50} = 6 \) symbols (๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš—)
  • May: \( \frac{150}{50} = 3 \) symbols (๐Ÿš— ๐Ÿš— ๐Ÿš—)
  • June: \( \frac{350}{50} = 7 \) symbols (๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš—)

The resulting pictograph is shown below:

MonthsProduction of Vehicles (๐Ÿš— = 50 vehicles)
Jan๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš—
Feb๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš—
March๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš—
April๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš—
May๐Ÿš— ๐Ÿš— ๐Ÿš—
June๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš— ๐Ÿš—

 

Question. Total no. of Students of a school in various years are given below.

Year20102009200820072006
No. of Students700650600575625


Represent the above data by a pictograph.
Answer:
To represent the given student population data, let one full symbol ๐Ÿ‘ค represent \( 50 \) students and a half symbol ๐Ÿ‘ค_half represent \( 25 \) students.
The number of symbols required for each year is calculated as follows:

  • 2010: \( \frac{700}{50} = 14 \) symbols
  • 2009: \( \frac{650}{50} = 13 \) symbols
  • 2008: \( \frac{600}{50} = 12 \) symbols
  • 2007: \( \frac{575}{50} = 11.5 \) symbols (11 full symbols and 1 half symbol)
  • 2006: \( \frac{625}{50} = 12.5 \) symbols (12 full symbols and 1 half symbol)

The resulting pictograph is shown below:

YearNo. of Students (๐Ÿ‘ค = 50 students, ๐Ÿ‘ค_half = 25 students)
2010๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค
2009๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค
2008๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค
2007๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค_half
2006๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค ๐Ÿ‘ค_half

 

Question. Represent the following data in the form of pictograph.

MonthsSeptemberOctoberNov.Dec.
No. of bulbs used1081215


Answer:
To represent the data using a pictograph, let one full bulb symbol ๐Ÿ’ก represent \( 2 \) bulbs, and a half bulb symbol ๐Ÿ’ก_half represent \( 1 \) bulb.
The calculations for the symbols required for each month are:

  • September: \( \frac{10}{2} = 5 \) symbols (๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก)
  • October: \( \frac{8}{2} = 4 \) symbols (๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก)
  • Nov.: \( \frac{12}{2} = 6 \) symbols (๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก)
  • Dec.: \( \frac{15}{2} = 7.5 \) symbols (7 full symbols and 1 half symbol)

The pictograph is shown below:

MonthsNo. of bulbs used (๐Ÿ’ก = 2 bulbs, ๐Ÿ’ก_half = 1 bulb)
September๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก
October๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก
Nov.๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก
Dec.๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก ๐Ÿ’ก_half

 

Question. Construct a histogram for the following data

Marks obtainedNo. of Students
0 โ€“ 104
10 โ€“ 206
20 โ€“ 307
30 โ€“ 4010
40 โ€“ 508
50 โ€“ 606
60 โ€“ 704


Answer:
To construct a histogram for the given frequency distribution, follow these steps:
1. Define the Axes: Draw two perpendicular lines on graph paper. Label the horizontal axis (X-axis) as "Marks obtained" and the vertical axis (Y-axis) as "No. of Students".
2. Determine Scales:
- Along X-axis: Set \( 1\text{ cm} = 10\text{ marks} \). Since the intervals begin at \( 0 \), start the plotting directly from the origin.
- Along Y-axis: Set \( 1\text{ cm} = 1\text{ student} \) (or \( 1\text{ cm} = 2\text{ students} \) based on your graph grid size).
3. Plot the Rectangles: Construct adjacent bars of the following heights:
- For class interval \( 0 - 10 \), draw a bar of height \( 4\text{ units} \).
- For class interval \( 10 - 20 \), draw a bar of height \( 6\text{ units} \).
- For class interval \( 20 - 30 \), draw a bar of height \( 7\text{ units} \).
- For class interval \( 30 - 40 \), draw a bar of height \( 10\text{ units} \).
- For class interval \( 40 - 50 \), draw a bar of height \( 8\text{ units} \).
- For class interval \( 50 - 60 \), draw a bar of height \( 6\text{ units} \).
- For class interval \( 60 - 70 \), draw a bar of height \( 4\text{ units} \).
Ensure there are no gaps between the rectangular bars, as the data represents continuous classes.

 

Question. Draw a histogram to represent the following data.

Height (in cm)No. of Students
140 โ€“ 1455
145 โ€“ 1509
150 โ€“ 15515
155 โ€“ 16010
160 โ€“ 1658
165 โ€“ 1707


Answer:
To draw a histogram for the given frequency distribution, follow these steps:
1. Define the Axes: Draw two perpendicular axes on a graph. Label the horizontal axis (X-axis) as "Height (in cm)" and the vertical axis (Y-axis) as "No. of Students".
2. Draw a Kink (or Broken Line): Since the height values begin at \( 140 \) instead of \( 0 \), draw a kink or zigzag mark along the X-axis between the origin \( 0 \) and the first interval starting point \( 140 \) to indicate a scale break.
3. Determine Scales:
- Along X-axis: Set \( 1\text{ cm} = 5\text{ cm} \) of height.
- Along Y-axis: Set \( 1\text{ cm} = 2\text{ students} \) (or \( 1\text{ cm} = 1\text{ student} \)).
4. Plot the Rectangles: Construct adjacent bars of the following heights:
- For class interval \( 140 - 145 \), draw a bar of height \( 5\text{ units} \).
- For class interval \( 145 - 150 \), draw a bar of height \( 9\text{ units} \).
- For class interval \( 150 - 155 \), draw a bar of height \( 15\text{ units} \).
- For class interval \( 155 - 160 \), draw a bar of height \( 10\text{ units} \).
- For class interval \( 160 - 165 \), draw a bar of height \( 8\text{ units} \).
- For class interval \( 165 - 170 \), draw a bar of height \( 7\text{ units} \).

Chapter 05 Data Handling Printable Assignments & Solutions for Class 8 Mathematics

Download Assignment: Chapter 05 Data Handling (Class 8 Mathematics)

Review targeted chapter assignments for Class 8 Mathematics Chapter 05 Data Handling. Built according to official CBSE guidelines, these downloadable problem sets help students build accuracy and prepare effectively for school tests.

Key Advantages of Solving Chapter 05 Data Handling Assignments

  • Syllabus Compliance: Sets reflect current CBSE evaluation criteria and official marking frameworks.
  • Multi-Format Practice: Includes varied problem types designed to deepen comprehension across all sub-topics.
  • Time Management: Routine practice optimizes pacing to finish school examinations comfortably within schedule.

How to Approach Mathematics Chapter 05 Data Handling Assignments

  1. Initial Reading: Begin by reading the NCERT book for Class 8 Mathematics to build a baseline understanding.
  2. Independent Testing: Attempt assignment questions unassisted, then verify work using provided answer keys.
  3. Supplementary Aids: Leverage revision notes and worksheets whenever you encounter difficult topics.

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Yes, our teachers have given solutions for all questions in the Class 8 Mathematics Chapter 05 Data Handling assignments. This will help you to understand step-by-step methodology to get full marks in school tests and exams.

Are the assignments for Class 8 Mathematics Chapter 05 Data Handling based on the 2026 exam pattern?

Yes. These assignments are designed as per the latest CBSE syllabus for 2026. We have included huge variety of question formats such as MCQs, Case-study based questions and important diagram-based problems found in Chapter 05 Data Handling.

How can practicing Chapter 05 Data Handling assignments help in Mathematics preparation?

Practicing topicw wise assignments will help Class 8 students understand every sub-topic of Chapter 05 Data Handling. Daily practice will improve speed, accuracy and answering competency-based questions.

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