In the recent past, the term ‘Statistics’ in the high school curriculum has been replaced by Data handling.
Data handling can be considered as an updated form of statistics that can provide a learning base where data can be gathered, analyzed and in fact totally explored. Data is some numerical observations collected by the students and handling involves analyzing and recording them in such a way that it becomes meaningful to others. In a simple way it can be explained with an example. Any collected information about the runs scored by a batsman in the last 5 ODI matches, the number of wickets taken by a bowler in the last 5 tests, the marks earned by your class in the Science unit test, or the number of novels read by each of your friends in your daily life is referred to as Data.
Now to record the data in a systematic way, and then analyze the results is what we mean by Data handling. So, Data Handling is the process of collecting, recording and displaying information in such a way that it is useful to others. Data is sometimes graphically represented to give a clear picture of what it represents. Data can be represented in various forms like by a Pictograph, line graph, a bar graph, dot plots, frequency distribution, a Double Bar Graph, or by Histogram.
Data handling is one of the important chapters for Class 8 students as it tests one's logical thinking, critical thinking skills, and presentation skills. In future, it will also help them to understand issues related to security, confidentiality and preservation of their research data.
The RD Sharma Class 8 Data Handling Solutions are designed by theVedantu experts who have a lot of experience of teaching Data handling for students over the years with an aim to extend and consolidate your knowledge on the topic of data handling thereby improving the student’s thinking ability and presentation skills.
Students can download a free PDF of RD Sharma Class 8 Data Handling Solutions from the Vedantu platform which provides the content to all RD Sharma Chapters and classes according to the NCERT curriculum.
Vedantu experts have also tried to remove the common misconceptions related to the topic of data handling for the Class 8 students. Experts have worked hard to provide step-by-step answers to all important questions so that students can clear their doubts by studying the solutions. A lot of exercises and practice problems on RD Sharma Solutions for Class 8 Math Chapter 23 are also provided so that the students can practice before their exams and score good marks in their exams.
Let's take a look at some of the key topics from the Data Handling chapter that are regularly asked in examinations.
Presentation of data.
Discrete frequency distribution.
Continuous or grouped frequency distribution.
Construction of a discrete frequency distribution.
Construction of a grouped frequency distribution.
Tips to Prepare for Exams Using RD Sharma Solutions for Class 8 Math Chapter 23
Data handling is an important chapter in Class 8 Math that has more weightage more heavily in board examinations. So, the following tips will help students to get good marks in their exams.
While collecting the data, we have to try to sort those in some particular order rather than collecting it randomly as this will help to present the data in a quicker time in charts or tables.
Before answering, carefully read the questions. Sometimes the question directs you to present the data in graphs or charts. We may end up with incorrect answers if we are not clear with graphs and charts.
When plotting graphs and charts, use geometrical tools to make the answer look neat and clear, which improves presentation skills.
FAQs on RD Sharma Solutions for Class 8 Math - Data Handling I - Free PDF Download
1. What is Data Handling?
Data handling is the process of ensuring that research information is stored, archived, or disposed of in a safe and secure manner before and after the completion of a research project. Proper preparation in data handling will result in data storage, retrieval, and disposal is effective and economical. Basically, this involves gathering data and then organizing them, analyzing them, and recording in such a way that it becomes useful to all in the future. They can be represented in graphical and pictorial form.
2. What is the Process of Data Handling?
The different steps in data handling are:
3. Why do I have to Study RD Sharma Solutions for Class 8 Math Chapter 23?
Data handling is one of the important chapters for Class 8 students which has a lot of weightage in their final exams. The RD Sharma Solutions for Class 8 Math Chapter 23 are prepared by the Vedantu experts to provide a top-notch solution on data handling so that students ace their exams. They get confidence, due to enhanced background knowledge on data handling. Data handling is an integral part of applied mathematics. It helps develop critical thinking, calculation and presentation skills. It prepares the learner to participate and compete for various work spheres of economy and science, which would be an added advantage to their career. In the modern world, the role of data handling is unparalleled. From social network algorithms to population statistics, from the stock market to cricket matches, one can simply not dispose of this integral part of statistics. So tie your shoelaces and get ready to explore the world of handling one of the most valuable resources known to mankind, data
4. What are the common misconceptions seen among class 8 students about data handling?
In many times the students collect data without serving any real purpose. Data collection is much beyond simply collecting values, projecting them on a whiteboard, and lecturing a group of people. It is a panoramic subject dealing with analysis, predictions, business, forecasts, and many more scientific and social parameters. Class 8 students often think that if they produce graphs or neatly drawn charts or pictographs they can fetch good marks but that is not the case. They need proper interpretation of their graphs and charts without which their data handling will be of no use. They should always keep in mind that data handling is not mere collection or drawing. The most important part of data handling is analyzing and interpreting results.
5. What are the methods of data collection?
The methods of data collection are Surveys, experiments, and simulations. Surveys serve as the starting point for pupils to gather their own data, represent and analyze the data gathered. Experiments require more data gathering than surveys since they use both test and control subjects. Simulations resemble experiments but are of more significance since they use random number devices to model real-world situations. Proper methods of data handling mean a more scientific approach that can help in taking proper decisions.