RD Sharma Solutions for Class 7 Maths Chapter 22 - Data Handling I (Collection and organization of Data)
Free PDF download of RD Sharma Solutions for Class 7 Maths Chapter 22 - Data Handling I (Collection and organization of Data) solved by Expert Mathematics Teachers on Vedantu. All Chapter 22 - Data Handling I (Collection and organization of Data) Exercise Questions with Solutions to help you to revise complete Syllabus and Score More marks. Register for online coaching for IIT JEE (Mains & Advanced), NEET, Engineering and Medical entrance exams.
Class 7 RD Sharma Textbook Solutions Chapter 22 - Data Handling I (Collection and organization of Data)
In this Chapter 22 - Data Handling I (Collection and organization of Data), several exercise questions with solutions for RD Sharma Class 7 Maths are given to help the students and understand the concepts better.
We have provided step by step solutions for all exercise questions given in the pdf of Class 7 RD Sharma Chapter 22 - Data Handling I (Collection and organization of Data). All the Exercise questions with solutions in Chapter 22 - Data Handling I (Collection and organization of Data) are given below:
At Vedantu, students can also get Class 7 Maths Revision Notes, Formula and Important Questions and also students can refer to the complete Syllabus for Class 7 Maths, Sample Paper and Previous Year Question Paper to prepare for their exams to score more marks.
What is Data Handling?
Data handling is the process of collecting, recording, and presenting data in a way that is useful to others, such as graphs or charts.
Data handling, also known as statistics, is a topic that is frequently discussed in both math and science classes.
Data handling is a set of abilities that includes the following:
Using a systematic approach to data collection.
Precision and accuracy in data recording.
To reach conclusions, data must be analyzed.
Data should be shared in a way that is valuable to others.
Both in the classroom and in real life, you will come across several examples of data handling. Here are some school-related examples:
After a school bake sale, taking inventory of the remaining buns.
Making a tally chart of what colour eyes each of your classmates has.
Making a pie chart to illustrate the number of boys and girls in a class.
Creating a bar chart to display different people's preferred colors.
Finding the data set's mean, mode, and median
The following are some real-life data management examples:
Online Marketing Surveys
National Census Voter Polls
In this chapter, we will look at concepts like Primary Data, Secondary data, Organization of data, Frequency of data and Construction of Frequency of data.
To help you understand this chapter better you can download RD Sharma’s textbook solutions for class 7 Chapter 22 data handling I (Collection and Organization of Data) will help you revise the entire syllabus and score well. These concepts are simplified for optimum learning. Our experts have worked with step by step details to help enrich your learning experience.
FAQs on RD Sharma Class 7 Maths Solutions Chapter 22 - Data Handling-I
1. Is Chapter 22 Data Handling of Class 7 RD Sharma Maths complicated to understand?
Like any subject, Data Handling requires understanding and practice. Most of the concepts in this chapter are easy to understand but if you find yourself confused with this topic RD Sharma’s Solutions textbook is here to help. You can download this PDF free of cost from Vedantu’s website and mobile app. The solutions in this textbook are easy to understand. In data handling, you learn how to access and analyze the data. You will learn how to collect data and make it easy to understand.
2. According to Chapter 22 of Class 7 RD Sharma Maths, what is the difference between primary and secondary data?
Primary data is defined as the data that is collected first-hand by a researcher. Usually, this research is collected first hand by conducting surveys and finding out information directly from a source. For example, national surveys are primary data because the government collects them directly. Secondary data is data that is gained from other sources that collect the information. All secondary data is found from the findings of primary data. For example - Information for assignments from websites is secondary data.
3. According to Chapter 22 of Class 7 RD Sharma Maths, what is data construction?
In simple words, data construction is basically how data is constructed once all the information is assembled. Data construction has different purposes in different scenarios and it is extremely crucial to understanding the conclusion of data. Concepts like collecting the data and organizing it plays into constructing data. Once the data is constructed it can help direct research towards its objective goals. Data construction can be formulated from either primary and secondary data sources and make the information comprehensible for research purposes.
4. According to Chapter 22 of class 7 RD Sharma Maths, what is frequency of data?
When collecting information at times you will find the value of the information being repeated multiple times. The amount of times this information is repeated is called the frequency of data. There is much research to help assimilate how frequent the data is repeated. There are many ways to help understand the frequency of data like the use of pie charts, diagrams and bar graphs. Basically, with this information, you can see how many times this data has occurred in the span of your research.
5. According to Chapter 22 of Class 7 RD Sharma Maths, what is the purpose of Data handling?
Data handling is collecting the raw data and presenting it in a way that can be easily understood. During and after the completion of a research project, data handling is the process of ensuring that research data is retained, preserved, or disposed of in a safe and secure manner. In Mathematics specifically, data handling is statistics and addresses aspects of data like security, preservation and confidentiality of said data. Data is used in all fields but in Mathematics, it deals with a numeric value.