 # NCERT Solutions for Class 8 Maths Chapter 5- Data Handling

## NCERT Solutions For Class 8 Maths Chapter 5 PDF Free Download

NCERT Solutions for class 8 Maths Chapter 5 Data Handling is crucial for the students of 8th class to clear their doubts and excel in their examination. These solutions help students to frame a better understanding of the topic. To ease the fear of maths, BYJU’S provide these NCERT Solutions to help the students not only sort their difficulties in solving problems but also to develop a deeper understanding of the related concepts.

Students can also download PDF of NCERT Class 8 Maths Solution for data handling chapter 5 or can view it online by following the links. These solutions for Data handling are designed by subject experts as per the CBSE syllabus prescribed by the board itself.

### Access Answers of Maths NCERT Class 8 Chapter 5- Data Handling           Also Access NCERT Exemplar for class 8 Maths Chapter 5 CBSE Notes for class 8 Maths Chapter 5

## NCERT Solutions for Class 8 Maths Chapter 5- Data Handling

Solving the NCERT Solutions for Class 8 is very important from the CBSE board examination point of view. Data Handling is one of the chapters in Class 8 maths that contain the concepts that are likely to be used in daily life. The chapter deals with different concepts related to Data Handling. Let us have a look at some of them.

• Data mostly available to us in an unorganised form is called raw data.
• In order to draw meaningful inferences from any data, we need to organise the data systematically.
• Frequency gives the number of times that a particular entry occurs.
• Raw data can be ‘grouped’ and presented systematically through ‘grouped frequency distribution’.
• Grouped data can be presented using histogram. Histogram is a type of bar diagram, where the class intervals are shown on the horizontal axis and the heights of the bars show the frequency of the class interval. Also, there is no gap between the bars as there is no gap between the class intervals.
• Data can also presented using circle graph or pie chart. A circle graph shows the relationship between a whole and its parts.
• There are certain experiments whose outcomes have an equal chance of occurring.
• A random experiment is one whose outcome cannot be predicted exactly in advance.
• Outcomes of an experiment are equally likely if each has the same chance of occurring. Probability of an event = Number of outcomes that make an event Total number of outcomes of the experiment , when the outcomes are equally likely.
• One or more outcomes of an experiment make an event.
• Chances and probability are related to real life.

Main topics covered in this chapter include:

5.1 Looking for Information

5.2 Organising Data

5.3 Grouping Data

5.3.1 Bars with a difference

5.4 Circle Graph Or Pie Chart

5.4.1 Drawing pie charts

5.5 Chance and Probability

5.5.1 Getting a result

5.5.2 Equally likely outcomes

5.5.4 Outcomes as events

5.5.5 Chances and Probability related to real life.

Exercise 5.1 Solutions 5 Questions (5 Short Answer Questions)

Exercise 5.2 Solutions 5 Questions (3 Long Answer Questions and 2 Short Answer Questions)

Exercise 5.3 Solutions 6 Questions (2 Long Answer Questions and 4 Short Answer Questions)

## NCERT Solutions for Class 8 Maths Chapter 5- Data Handling

Information that we collect in our day to day life are called Data. The graphical representation of the data collected gives a clear idea of what it represents. The different types of graphs used to represent the data includes pictograph, bar graph, double bar graph, pie charts etc. The chapter 5 of class 8 Maths, Data handling deals with organising data and grouping the data. The data can be grouped using frequency distribution table. In this chapter, the students also learn about the chances or probability of an event as well as how these probability can be represented.

### Key Features of NCERT Solutions for Class 8 Maths Chapter 5- Data Handling

Studying the chapter 5 of class 8, Data Handling helps the students in:

• Reading bar-graphs,ungrouped data, arranging it into groups, representation of grouped data through bar-graphs, constructing and interpreting bar-graphs.
• Simple Pie charts with reasonable data numbers
• Consolidating and generalising the notion of chance in events like tossing coins, dice etc.Relating it to chance in life events.
• Visual representation of frequency outcomes of repeated throws of the same kind of coins or dice.
• Throwing a large number of identical dice/coins together and aggregating the result of the throws to get large number of individual events.
• Observing the aggregating numbers over a large number of repeated events.
• Comparing with the data for a coin.
• Observing strings of throws, notion of randomness