Class 7 Exam  >  Class 7 Notes  >  Mathematics (Maths) Class 7 (Old NCERT)  >  PPT: Data Handling

PPT: Data Handling | Mathematics (Maths) Class 7 (Old NCERT) PDF Download

Download, print and study this document offline
Please wait while the PDF view is loading
 Page 1


DA TA
H AND LING
Page 2


DA TA
H AND LING
D AT A
H A N D L IN G
Data handling means to collect
and present the data so that it
can be used in further studies and
to find some results. 
In this chapter, we will study data
handling and its representation in
various forms.
Page 3


DA TA
H AND LING
D AT A
H A N D L IN G
Data handling means to collect
and present the data so that it
can be used in further studies and
to find some results. 
In this chapter, we will study data
handling and its representation in
various forms.
A R I T H M E T I C
M E A N
The most commonly used
representative value for a group of
data is known as the arithmetic
mean or simply the mean.
 It lies between the highest and
the lowest value of data.
Page 4


DA TA
H AND LING
D AT A
H A N D L IN G
Data handling means to collect
and present the data so that it
can be used in further studies and
to find some results. 
In this chapter, we will study data
handling and its representation in
various forms.
A R I T H M E T I C
M E A N
The most commonly used
representative value for a group of
data is known as the arithmetic
mean or simply the mean.
 It lies between the highest and
the lowest value of data.
A R I TH M E T I C
M E A N
Add all the numbers then divide
by the amount of numbers
9, 3, 1, 8, 3, 6
9+3+1+8+3+6 = 30
30     6 = 5
The mean is 5
Page 5


DA TA
H AND LING
D AT A
H A N D L IN G
Data handling means to collect
and present the data so that it
can be used in further studies and
to find some results. 
In this chapter, we will study data
handling and its representation in
various forms.
A R I T H M E T I C
M E A N
The most commonly used
representative value for a group of
data is known as the arithmetic
mean or simply the mean.
 It lies between the highest and
the lowest value of data.
A R I TH M E T I C
M E A N
Add all the numbers then divide
by the amount of numbers
9, 3, 1, 8, 3, 6
9+3+1+8+3+6 = 30
30     6 = 5
The mean is 5
R A N G E
To understand how the
observations are spread out, we
can look at the difference
between the highest and lowest
values. 
To find this difference, we simply
subtract the lowest value from the
highest value. 
This difference is called the range
of the observations.
Read More
78 videos|457 docs|39 tests

FAQs on PPT: Data Handling - Mathematics (Maths) Class 7 (Old NCERT)

1. What is data handling, and why is it important in various fields?
Ans. Data handling refers to the process of collecting, organizing, storing, and analyzing data to derive meaningful insights. It is crucial in fields like business, science, healthcare, and education because it helps in decision-making, predicting trends, and improving efficiency. Proper data handling ensures the integrity and accuracy of data, which is essential for effective analysis and reporting.
2. What are the common methods used in data handling?
Ans. Common methods used in data handling include data collection techniques such as surveys, experiments, and observational studies. After collection, data can be organized using databases or spreadsheets. Techniques for analyzing data include statistical methods, data visualization, and data mining. Each method serves a specific purpose in transforming raw data into useful information.
3. How can data visualization aid in data handling?
Ans. Data visualization involves representing data graphically to make complex information more accessible and understandable. It helps in identifying patterns, trends, and outliers within data. By using charts, graphs, and maps, stakeholders can quickly grasp insights and make informed decisions based on the visual representation of data.
4. What are the potential challenges in data handling?
Ans. Potential challenges in data handling include data quality issues such as inaccuracies, inconsistencies, and incompleteness. Additionally, data privacy and security concerns are critical, especially with sensitive information. Handling large volumes of data, ensuring proper data storage, and keeping up with evolving technologies can also pose significant challenges.
5. How can one ensure the accuracy and reliability of data in handling?
Ans. To ensure accuracy and reliability, it's essential to implement rigorous data validation techniques, conduct regular audits, and maintain clear documentation of data sources and methodologies. Training staff in proper data handling practices and utilizing software tools designed for data integrity can also significantly enhance the reliability of data used for analysis.
Related Searches

mock tests for examination

,

practice quizzes

,

pdf

,

PPT: Data Handling | Mathematics (Maths) Class 7 (Old NCERT)

,

shortcuts and tricks

,

Viva Questions

,

Summary

,

past year papers

,

Extra Questions

,

Objective type Questions

,

ppt

,

MCQs

,

Exam

,

Sample Paper

,

Semester Notes

,

Important questions

,

video lectures

,

PPT: Data Handling | Mathematics (Maths) Class 7 (Old NCERT)

,

Free

,

PPT: Data Handling | Mathematics (Maths) Class 7 (Old NCERT)

,

study material

,

Previous Year Questions with Solutions

;