NCERT Textbook - Data Handling Class 7 Notes | EduRev

Mathematics (Maths) Class 7

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Class 7 : NCERT Textbook - Data Handling Class 7 Notes | EduRev

 Page 1


DATA HANDLING 57 57 57 57 57
3.1  INTRODUCTION
In your previous classes, you have dealt with various types of data. Y ou have learnt to
collect data, tabulate and put it in the form of bar graphs. The collection, recording and
presentation of data help us organise our experiences and draw inferences from them.
In this Chapter, we will take one more step towards learning how to do this. Y ou will
come across some more kinds of data and graphs. Y ou have seen several kinds of data
through newspapers, magazines, television and other sources. Y ou also know that all
data give us some sort of information. Let us look at some common forms of data that
you come across:
Chapter  3
Data
Handling
Temperatures of Cities
as on 20.6.2006
City Max. Min.
Ahmedabad 38°C29°C
Amritsar 37°C26°C
Bangalore 28°C21°C
Chennai 36°C27°C
Delhi 38°C28°C
Jaipur 39°C29°C
Jammu 41°C26°C
Mumbai 32°C27°C
Table 3.1
Marks of five students in a Hindi test
of 10 marks are: 4, 5, 8, 6, 7
Table 3.2
Table 3.3
Football
World Cup 2006
Ukraine beat Saudi Arabia by 4 - 0
Spain beat Tunisia by 3 - 1
Switzerland beat Togo by 2 - 0
Data Showing Weekly Absentees
in a Class
Monday      
Tuesday
Wednesday –
Thursday        
Friday 
Saturday      
 represents one child
Page 2


DATA HANDLING 57 57 57 57 57
3.1  INTRODUCTION
In your previous classes, you have dealt with various types of data. Y ou have learnt to
collect data, tabulate and put it in the form of bar graphs. The collection, recording and
presentation of data help us organise our experiences and draw inferences from them.
In this Chapter, we will take one more step towards learning how to do this. Y ou will
come across some more kinds of data and graphs. Y ou have seen several kinds of data
through newspapers, magazines, television and other sources. Y ou also know that all
data give us some sort of information. Let us look at some common forms of data that
you come across:
Chapter  3
Data
Handling
Temperatures of Cities
as on 20.6.2006
City Max. Min.
Ahmedabad 38°C29°C
Amritsar 37°C26°C
Bangalore 28°C21°C
Chennai 36°C27°C
Delhi 38°C28°C
Jaipur 39°C29°C
Jammu 41°C26°C
Mumbai 32°C27°C
Table 3.1
Marks of five students in a Hindi test
of 10 marks are: 4, 5, 8, 6, 7
Table 3.2
Table 3.3
Football
World Cup 2006
Ukraine beat Saudi Arabia by 4 - 0
Spain beat Tunisia by 3 - 1
Switzerland beat Togo by 2 - 0
Data Showing Weekly Absentees
in a Class
Monday      
Tuesday
Wednesday –
Thursday        
Friday 
Saturday      
 represents one child
MATHEMATICS 58 58 58 58 58
What do these collections of data tell you?
For example you can say that the highest maximum temperature was in Jammu on
20.06.2006 (Table 3.1) or we can say that, on Wednesday, no child was absent.
(Table 3.3)
Can we organise and present these data in a different way, so that their analysis and
interpretation becomes better? W e shall address such questions in this Chapter.
3.2  COLLECTING DATA
The data about the temperatures of cities (T able 3.1) can tell us many things, but it cannot
tell us the city which had the highest maximum temperature during the year . T o find that, we
need to collect data regarding the highest maximum temperature reached in each of these
cities during the year. In that case, the temperature chart of one particular date of the year,
as given in T able 3.1 will not be sufficient.
This shows that a given collection of data may not give us a specific information related
to that data. For this we need to collect data keeping in mind that specific information. In
the above case the specific information needed by us, was about the highest maximum
temperature of the cities during the year, which we could not get from Table 3.1
Thus, before collecting data, we need to know what we would use it for.
Given below are a few situations.
Y ou want to study the
– Performance of your class in Mathematics.
– Performance of India in football or in cricket.
– Female literacy rate in a given area, or
– Number of children below the age of five in the families around you.
What kind of data would you need in the above situations? Unless and until you collect
appropriate data, you cannot know the desired information. What is the appropriate data
for each?
Discuss with your friends and identify the data you would need for each.
Some of this data is easy to collect and some difficult.
3.3  ORGANISATION OF DATA
When we collect data, we have to record and organise it. Why do we need to
do that? Consider the following example.
Ms Neelam, class teacher wanted to find how children had performed
in English. She writes down the marks obtained by the students in the
following way:
23, 35, 48, 30, 25, 46, 13, 27, 32, 38
In this form, the data was not easy to understand. She also did not know whether her
impression of the students matched their performance.
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