NCERT Solutions for Class 8 Maths Chapter 5 Data Handling
Learning of fundamentals is very important. NCERT Solutions for Class 8 Maths Chapter 5 will strengthen student’s basic and conceptual fundamentals to score better marks and stay ahead. Our Mathematics experts who constantly work hard and keep detailed eyes on the subject have prepared this NCERT solution for class 8 Maths Chapter 5 Data Handling.
NCERT Solutions for Class 8 Maths Chapter 5 are extremely helpful in revising complete syllabus and getting a strong base. NCERT Solutions for Class 8 Maths Chapter 5 give step by step solution for each and every question of the chapter. NCERT solutions for class 8 Maths Chapter 5 data handling will also help you in your homework.
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CBSE Class 8 Maths Chapter 5 NCERT Solutions – Data Handling
Chapter 5 Data Handling help students to understand data handling in mathematical and self-explanatory format. Information collected in our day to day life is Data. Data is collected in the context of the situations under our study. The graphical representation of the data collected gives a clear view of what it represents. The different types of graphs will represent the data in different ways which include pictograph, bar graph, double bar graph, pie charts, etc.
Sub-topics covered under CBSE Class 8 Maths Chapter 5
- Ex. 5.1: Looking for Information
- Ex. 5.2: Organizing Data
- Ex. 5.3: Grouping Data
- Ex. 5.3.1: Bars with a difference
- Ex. 5.4: Circle Graph Or Pie Chart
- Ex. 5.4.1: Drawing pie charts
- Ex. 5.5: Chance and Probability
- Ex. 5.5.1: Getting a result
- Ex. 5.5.2: Equally likely outcomes
- Ex. 5.5.3: Linking chances to probability
- Ex. 5.5.4: Outcomes as events
- Ex. 5.5.5: Chances and Probability related to real life
NCERT Solutions for Class 8 Maths Chapter 5
Data handling deals with organizing data and grouping the data because, initially, such data are in unorganized format. The data can be grouped using the frequency distribution table methods. In this chapter, the students will also learn about the chances or probability of happening of an event.
Let us discuss the sub-topics in details.
5.1: Looking for Information
In our day-to-day life, we are using and creating information. These are used in a very large quantity. So its proper data handling is must get faster accessibility.
5.2: Organizing Data
Data is available initially in raw format. So it must be organized for further study and analysis.
5.3: Grouping Data
Data collection will be grouped by using frequency distribution table methods. It uses the concepts of the class interval, lower and upper limits and frequency.
5.3.1: Bars with a difference
It explains the Bar chart of a frequency table and also explains histogram.
5.4: Circle Graph or Pie Chart
Circle graph represents the relationship between whole and part. Its name is Pie chart. It is very much used for data analysis and decision making.
5.4.1: Drawing Pie Charts
A pie chart can be drawn by using the concept of percentage contribution or angle portion out of 360 degrees.
5.5: Chance and Probability
This topic is very important and useful for data prediction. It shows the possibility of happening of certain events in terms of quantity.
5.5.1: Getting a result
Random experiments always give the result as one event out of several possible events based on probability. For example, getting head or tail during toss of a coin.
5.5.2: Equally likely outcomes
Certain events are having all possible outcomes with equal probability and possibilities. This topic explains the events such as tossing a coin, rolling dice, etc.
5.5.3: Linking chances to probability
Chance of a possible event will give its probability in terms of mathematics.
5.5.4: Outcomes as events
Each event has several possible outcomes. These outcomes altogether make the complete event. For example head and tail altogether make the event of tossing a coin.
5.5.5: Chances and Probability related to real life
In our real-life chances are playing an important role in making decisions. For examples met department does forecast of weather based on available data, previous history, and the probability of certain related events.
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