RD Sharma Solutions for Class 8 Maths - Data Handling II - Free PDF Download
RD Sharma Solutions For Class 8 Math
Graphical representation presents scientific data in a simple visual method to deliver information that is easy to comprehend. Even a simple line graph can represent a graphical presentation. However one of the most preferred ways to represent graphical presentation is the histogram. This chapter deals with a graphical representation of data with histograms that make solid concepts without any sort of confusion.
Students can download a free PDF of RD Sharma Solutions for Class 8 Math Chapter 24 - Data Handling II (Graphical Representation of Data as Histograms) solved by Expert Mathematics Teachers from the Vedantu platform which provides the content to all RD Sharma Chapters and classes according to the NCERT curriculum.
Experts have worked hard to provide step-by-step answers to all important questions so that students can clear their doubts and revise the complete Syllabus and Score More marks by studying the solutions. A lot of exercises and practice problems are also provided so that the students can practice before their exams within a short time and make smart learning.
FAQs on RD Sharma Class 8 Maths Solutions Chapter 24 - Data Handling II
1. What is Graphical Representation?
Graphical Representation is a pictorial relation between numerical data and information in a diagram. Graphical Representation is the simplest way to analyze data with help of line segments and different geometrical symbols. Such type of representation also helps in comparison of several data in a scientific condensed way. It makes it easy to understand data.Thus in this presentation data can be processed, analyzed, stored and even compared with each other. Histograms, pie charts and even Cartesian graphs are usually used for such representation.
2. Why study graphical representation?
Retention and comprehension of pictorial data are more than that of any raw unclassified data. Unclassified data is unable to make any sense unless it is properly charted. Presenting data in pictorial representations also helps to compare parameters, gauge the range of data and also draw predictions. From a more pragmatic viewpoint, graphical representation eliminates the need for technical subtleties and thereby does away with professional jargon, making the information more accessible to the majority. It is an important chapter to score high marks in the exams.
3. How is graphical representation done by a histogram?
Histogram represents data with continuous bars of different heights representing the frequency of numerical values. In this graph the y-axis usually represents the percentage of occurrence of data. This type of representation is quite different from a bar graph as one represents numerical data while the other represents categorical data. It is specifically helpful when data is huge and any sort of error in data can easily be recognized in this sort of representation. Students can solve different questions to understand how histogram can be used for graphical representation.
4. How is Graphical Representation prepared?
A neat and colorful graphical representation can be prepared by using the following steps. It can help to draw attention and score good marks.
Graphical representation should be prepared with the following steps:
An appropriate title
An appropriate scale for suitable presentation
Mentioning the accurate unit of measurement
Mentioning the source of information at the bottom of the graph
Most importantly a neat and clear presentation of data.
A brief index about the different colors and designs used in the representation
5. What are the advantages of a histogram graphical representation?
Graphical representation by histogram helps one to understand statistical data in an easy way. It helps to get an idea about the data in a very short time. An observer can understand such data without even having any mathematical knowledge. Since it is a pictorial representation, one can retain an idea about the data for a long time in their memory. Comparison of several data also becomes easier in such a pictographic representation. Any error or fluctuations of data can easily be noticed in such representation by any observer.