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RS Aggarwal Solutions Class 8 Chapter-21 Data Handling (Ex 21A) Exercise 21.1

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Last updated date: 23rd Apr 2024
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RS Aggarwal Solutions Class 8 Chapter-21 Data Handling (Ex 21A) Exercise 21.1 - Free PDF

Free PDF download of RS Aggarwal Solutions Class 8 Chapter-21 Data Handling (Ex 21A) Exercise 21.1 solved by Expert Mathematics Teachers on Vedantu.com. All Exercise 21.1 Questions with Solutions for Class 8 RS Aggarwal 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. You can also register Online for Class 8 Science tuition on Vedantu.com to score more marks in your Examination.

The presentation of data is critical in order for it to be easily understood. This Chapter primarily describes the steps involved in preparing the frequency distribution table for the given data. The solutions are designed to securely and safely Exercise by Exercise based on the students' grasping ability.

These solutions are explained in simple terms to assist students in passing the Exam. PDF is designed to allow users to download solutions either Exercise-by-Exercise or Chapter-by-Chapter based on their needs. Students can use the RS Aggarwal Solutions for Class 6 Chapter 21 Data Handling – I (Data Presentation) PDF that is provided here.

In statistics, "Data Handling" is an important concept that ensures the integrity of research data by addressing issues such as security, confidentiality, and research data preservation. We have information in the form of a numerical figure in every field. Every figure of this type is referred to as an observation. In general, data is the collection of all observations. Statisticians use a variety of Data Management methods to manage their data. Let us discuss what Data Handling is and the various methods for handling data in this article.

About Data Handling

Data Handling entails gathering a set of data and presenting it in a different format. Data is a set of numerical figures that represent a specific type of information. The raw data is the collection of observations that are initially gathered. Data can take any form. It could be in the form of words, numbers, measurements, descriptions, or observations. Data Handling is the process of ensuring that research data is collected, archived, or disposed of in a secure and safe manner during and after the analysis process.

Data Varieties

Data Handling methods can be used depending on the type of data. The information is divided into two categories:

Qualitative Information

Quantitative Information

Qualitative data describes something, whereas quantitative data provides numerical information about something. The quantitative data is further subdivided in this section. There are two types of data: discrete data and continuous data. Discrete data can only take specific values, such as whole numbers. The continuous data can have a value that falls within the specified range.

Steps for Data Handling

The following are the steps involved in the data handling process:

Step 1: Identifying the Issue

The purpose or problem statement must be identified and well defined during the Data Handling process.

Step 2: Gathering Data

Data pertinent to the problem statement is gathered.

Step 3: Presenting the Data

The collected data should be presented in a meaningful and understandable manner. It is possible to accomplish this by arranging the collected data in tally marks, table forms, and so on.

4th Step: Graphic Representation

Because the visual or graphical representation of data facilitates analysis and comprehension, presented data can be plotted in graphs, charts such as bar graphs, pie charts, and so on.

5th Step: Data Analysis

The data should be analyzed so that the necessary information can be derived from the data, allowing for subsequent actions to be taken.

Step 6: Finally,

We can deduce the solution to our problem statement from the data analysis.

How Should Data Be Represented?

Typically, data can be represented in one of the following ways. They are as follows:

  • Line Graphs and Bar Graphs

  • Pictographs

  • Histograms

  • Dot Plots for Stem and Leaf

  • Distribution of Frequency

  • Tables and graphs with totals

Now, we'll look at one of the methods for representing data using a "Bar Graph."

Bar Graph

Data can be represented in a variety of ways, including numbers, pictures, tables, graphics, and so on. Bar graphs are the most common type of graphical representation of data. A bar graph or bar chart depicts a visual interpretation of data using vertical or horizontal rectangular bars of equal width that are uniformly spaced concerning straightforward one another, with the lengths of the bars proportional to the data to be represented.

Vedantu is a platform that provides free CBSE Solutions (NCERT) and other study materials for students. Maths Students who are looking for better solutions can download Class 8 Maths NCERT Solutions to help you to revise the complete syllabus and score more marks in your Examinations.

FAQs on RS Aggarwal Solutions Class 8 Chapter-21 Data Handling (Ex 21A) Exercise 21.1

1. Where can I find useful Math study materials for Class 8?

Everything you need can be found on the Vedantu app or website. These resources are created by experts in the field, and the information is accurate and dependable. Students will be able to find revision notes, important questions, question papers, and much more! There are no fees or costs associated with these study materials. All students need to do is sign in, and then they can download whatever they want in PDF format. You can benefit from these free resources, which will undoubtedly help you ace your Exams.

2. Where can I find useful Math study materials for Class 8?

Everything you need can be found on the Vedantu app or website. These resources are created by experts in the field, and the information is accurate and dependable. Students will be able to find revision notes, important questions, question papers, and much more! There are no fees or costs associated with these study materials. All students need to do is sign in, and then they can download whatever they want in PDF format. You can benefit from these free resources, which will undoubtedly help you ace your Exams.

3. Why is it necessary to study from the RS Aggarwal book in Class 8?

RS Aggarwal textbooks are recommended by the CBSE Board. These books adhere to the most recent CBSE syllabus. As a result, these books are sufficient for preparing for Class 9 Exams. It explains concepts simply and straightforwardly. When it comes to strengthening your fundamentals, these textbooks are the best. It contains a plethora of solved Examples and Exercises that aid in a student's learning. The Exam paper will be almost entirely based on the RS Aggarwal textbook. As a result, students are advised to thoroughly study the RS Aggarwal book.

4. What will I learn in RS Aggarwal Solutions Class 8 Chapter-21?

You will learn about Data Handling. Gathering a set of data and presenting it in a different format is what data handling entails. A set of numerical figures that represent a specific type of information is referred to as data. The raw data is a collection of observations that are gathered initially. Data can take any shape. It could be words, numbers, measurements, descriptions, or observations. The process of ensuring that research data is collected, archived, or disposed of in a secure and safe manner during and after the analysis process is known as Data Handling.

5. Is it required to complete all of the Chapter Exercises?

It is always preferable to complete all of the Chapter Exercises because they provide practice. Math is not a subject that can be learned simply by reading or memorizing. It takes dedication and practice. After each section of the RS Aggarwal textbook, there are Examples and Exercises. After you've finished each section, go over the solved Examples and make sure you understand them completely. Then proceed to the Exercises and attempt to solve them. There is a chance that the same questions will appear in the Examination, so students should practise the sums in the Exercises thoroughly.