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# RD Sharma Class 8 Solutions Chapter 23 - Classification and Tabulation of Data (Ex 23.2) Exercise 23.2

Last updated date: 29th May 2024
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## Preparation with RD Sharma Class 8 Solutions Chapter 23

Free PDF Download of RD Sharma Class 8 Solutions Chapter 23 - Classification and Tabulation of Data Exercise 23.2 solved by Expert Mathematics Teachers on Vedantu.com. All Chapter 23 - Classification and Tabulation of Data Ex 23.2 Questions with Solutions for RD Sharma Class 8 Maths to help you to revise the complete Syllabus and Score More marks. Register for online coaching for IIT JEE (Mains & Advanced) and other engineering entrance exams.

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## RD Sharma Class 8 Solutions Chapter 23 - Classification and Tabulation of Data (Ex 23.2) Exercise 23.2

### Introduction to The Chapter

‘Classification and Tabulation of Data’ is the 23rd chapter of RD Sharma Class 8 Maths in which students learn about placing the data after organizing it in tabulated form. The chapter ‘Classification and Tabulation of data’ helps the students to array the numeric data in a logical and systematic manner in the form of rows and columns.

### Sections of RD Sharma Class 8 Chapter 23- Classification of Data

1. RAW Data

2. Presentation of Data

3. Frequency Distribution

4. Discrete Frequency Distribution

5. Continuous or Grouped Frequency Distribution

6. Construction of a Discrete Frequency Distribution

7. Construction of a Grouped Frequency Distribution

### Important Terms of RD Sharma Class 8 Chapter 23- Classification of Data

1. Data - Data is the collection of facts such as numbers, words, measurements, and so on.

2. Observations - The fact that is collected about a particular variable is known as observation.

3. Raw Data - Raw data is the data that has not been used yet.

4. Frequency - The frequency of a particular data is the number of times that data value occurs.

5. Frequency Distribution - The frequency distribution provides the number of times a value has occurred within a given period of time.

6. Discrete Frequency Distribution - The discrete frequency distribution is the one in which the data can take only certain values.

7. Grouped Frequency Distribution - The grouped frequency distribution is the one in which several numbers are grouped into one class.

8. Class Interval - When the data is very large and is classified into groups, each group is known as class interval or class.

9. Class Size - Class size is the difference between the upper limit and lower limit of a class interval.

10. Class Limit - The smallest data value that can go into a class is classified as the lower-class limit while the largest value that can go into a class is classified as the upper-class limits.

## FAQs on RD Sharma Class 8 Solutions Chapter 23 - Classification and Tabulation of Data (Ex 23.2) Exercise 23.2

1. Is RD Sharma a good book for class 8 Maths?

RD Sharma has detailed explanations of every topic. It is easier for students to learn Maths step-by-step and for that, no other book is as good as RD Sharma. Students get to understand the topic better and enhance their knowledge and problem-solving skills since the book has a large number of questions. Students should definitely rely on RD Sharma for their exams as well since the book is designed in accordance with the guidelines provided by the CBSE Board.

2. How to study the Chapter Classification and Tabulation of Data?

Students should go through the chapter in the textbook thoroughly first. To clear the concepts and make learning easier, Vedantu has provided Revision notes for the chapter ‘Classification and Tabulation of Data’ or ‘Data Handling’. These revision notes are designed in such a way that the students find the language familiar and easy to understand. After going through the Chapter and having the theoretical concepts clear, students should go for solving the problems. It is not advised to skip any problem or question, be it easy or difficult. If the students find any problem difficult to solve, they should refer to the solutions provided by Vedantu.

3. Give a few examples where data handling is used in real-life.

Data Handling is very important in order to organize data and resources. Data Handling is used in-

• Recording the level of water in the river

• Recording the economical income

• Recording the performance of a company

• Library

• Hospitals to keep a record of patients

• School, colleges, and other educational institutions to record data of students

• Banks or financial institutions

4. What are the different ways to represent data?

Data can be represented through various ways-

• Pictographs - Using images and symbols

• Line Graph - Shows how value change over time

• Bar Graph - Shows comparison among categories

• Histograms - Shows frequencies of different data

• Stem and Leaf Plots - Using data values as stems and leaves

• Dot Plots - Simple form of dotted data visualization

• Frequency Distribution Table - Summarizes values and their frequencies

• Cumulative Tables and Graphs - Displays cumulative frequencies that are distributed over various classes