School Assignments for Class 8 Mathematics: Chapter 05 Data Handling
Review targeted academic assignments with the CBSE Class 8 Mathematics Data Handling Assignment Set 10. Built according to official CBSE standards for the 2026-27 term, these downloadable Class 8 Mathematics worksheets support effective daily practice for Chapter 05 Data Handling.
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.
| Months | Jan | Feb | March | April | May | June |
|---|---|---|---|---|---|---|
| No. of Production | 300 | 250 | 400 | 300 | 150 | 350 |
Answer:
To represent the data in the form of a pictograph, let one vehicle symbol ๐ represent \( 50 \) vehicles.
The number of symbols required for each month is calculated below:
- Jan: \( \frac{300}{50} = 6 \) symbols (๐ ๐ ๐ ๐ ๐ ๐)
- Feb: \( \frac{250}{50} = 5 \) symbols (๐ ๐ ๐ ๐ ๐)
- March: \( \frac{400}{50} = 8 \) symbols (๐ ๐ ๐ ๐ ๐ ๐ ๐ ๐)
- April: \( \frac{300}{50} = 6 \) symbols (๐ ๐ ๐ ๐ ๐ ๐)
- May: \( \frac{150}{50} = 3 \) symbols (๐ ๐ ๐)
- June: \( \frac{350}{50} = 7 \) symbols (๐ ๐ ๐ ๐ ๐ ๐ ๐)
The resulting pictograph is shown below:
| Months | Production of Vehicles (๐ = 50 vehicles) |
|---|---|
| Jan | ๐ ๐ ๐ ๐ ๐ ๐ |
| Feb | ๐ ๐ ๐ ๐ ๐ |
| March | ๐ ๐ ๐ ๐ ๐ ๐ ๐ ๐ |
| April | ๐ ๐ ๐ ๐ ๐ ๐ |
| May | ๐ ๐ ๐ |
| June | ๐ ๐ ๐ ๐ ๐ ๐ ๐ |
Question. Total no. of Students of a school in various years are given below.
| Year | 2010 | 2009 | 2008 | 2007 | 2006 |
|---|---|---|---|---|---|
| No. of Students | 700 | 650 | 600 | 575 | 625 |
Represent the above data by a pictograph.
Answer:
To represent the given student population data, let one full symbol ๐ค represent \( 50 \) students and a half symbol ๐ค_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:
| Year | No. of Students (๐ค = 50 students, ๐ค_half = 25 students) |
|---|---|
| 2010 | ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค |
| 2009 | ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค |
| 2008 | ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค |
| 2007 | ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค_half |
| 2006 | ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค ๐ค_half |
Question. Represent the following data in the form of pictograph.
| Months | September | October | Nov. | Dec. |
|---|---|---|---|---|
| No. of bulbs used | 10 | 8 | 12 | 15 |
Answer:
To represent the data using a pictograph, let one full bulb symbol ๐ก represent \( 2 \) bulbs, and a half bulb symbol ๐ก_half represent \( 1 \) bulb.
The calculations for the symbols required for each month are:
- September: \( \frac{10}{2} = 5 \) symbols (๐ก ๐ก ๐ก ๐ก ๐ก)
- October: \( \frac{8}{2} = 4 \) symbols (๐ก ๐ก ๐ก ๐ก)
- Nov.: \( \frac{12}{2} = 6 \) symbols (๐ก ๐ก ๐ก ๐ก ๐ก ๐ก)
- Dec.: \( \frac{15}{2} = 7.5 \) symbols (7 full symbols and 1 half symbol)
The pictograph is shown below:
| Months | No. of bulbs used (๐ก = 2 bulbs, ๐ก_half = 1 bulb) |
|---|---|
| September | ๐ก ๐ก ๐ก ๐ก ๐ก |
| October | ๐ก ๐ก ๐ก ๐ก |
| Nov. | ๐ก ๐ก ๐ก ๐ก ๐ก ๐ก |
| Dec. | ๐ก ๐ก ๐ก ๐ก ๐ก ๐ก ๐ก ๐ก_half |
Question. Construct a histogram for the following data
| Marks obtained | No. of Students |
|---|---|
| 0 โ 10 | 4 |
| 10 โ 20 | 6 |
| 20 โ 30 | 7 |
| 30 โ 40 | 10 |
| 40 โ 50 | 8 |
| 50 โ 60 | 6 |
| 60 โ 70 | 4 |
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 145 | 5 |
| 145 โ 150 | 9 |
| 150 โ 155 | 15 |
| 155 โ 160 | 10 |
| 160 โ 165 | 8 |
| 165 โ 170 | 7 |
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 \( 7\text{ units} \).
Free study material for Mathematics
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
- Initial Reading: Begin by reading the NCERT book for Class 8 Mathematics to build a baseline understanding.
- Independent Testing: Attempt assignment questions unassisted, then verify work using provided answer keys.
- Supplementary Aids: Leverage revision notes and worksheets whenever you encounter difficult topics.
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You can download free PDF assignments for Class 8 Mathematics Chapter 05 Data Handling from StudiesToday.com. These practice sheets have been updated for the 2026-27 session covering all concepts from latest NCERT textbook.
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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.
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