Complete Guide For Class 7 Math Chapter 3: Data Handling

Welcome to iPrep, your Learning Super App. Our learning resources for the chapter, Data Handling in Mathematics for Class 7th are designed to ensure that you grasp this concept with clarity and perfection. Whether you’re studying for an upcoming exam or strengthening your concepts, our engaging animated videos, practice questions and notes offer you the best of integrated learning with interesting explanations and examples. 

The chapter on Data Handling is designed to build a strong foundational understanding of data collection, organization, and interpretation. This knowledge is crucial in mathematics and has significant real-world applications, such as in scientific research, business analysis, and everyday decision-making. This chapter aims to provide students with a comprehensive understanding of data handling techniques, including data representation, and measures of central tendency, thereby equipping them with the necessary skills for more advanced statistical topics.

Data Handling

Introduction to Data Handling

Data handling is a collection of numbers, characters, images, or other outputs gathered to provide information. Understanding how to handle data is crucial not only in mathematics but also in various real-world applications like scientific research, business analysis, and daily decision-making.

Key Points for Understanding Information And Data Handling

  • Data: Raw numbers or characters collected from various sources.
  • Information: Data that has been processed and given meaning through relational connections.

Examples:

  • Data: 5, 7, 11, 2, 17, 3, 13
  • Information: 2, 3, 5, 7, 11, 13, 17 (Prime numbers in ascending order)

Basic Definition of Data Collection

In the chapter Data Handling comes the basic definition of Data Collection which goes like this – Data can be collected from various resources to meet specific application requirements, such as newspapers, magazines, and telephone directories.

Example: A table of cricketers who scored the most centuries in test cricket:

Batsman100sTeam
S. Tendulkar35India
S. Gavaskar34India
S.Waugh32Australia
B. Lara31West Indies
D.Bradman29Australia
Inzman25Pakistan

Now, let’s understand how data is organized.

Organization of Data

The chapter 3 of class 7th math Data Handling states that once collected, data must be organized for better understanding and analysis. This can be done using tables, graphs, maps, diagrams, illustrations, and flow charts.

Example: A class teacher measuring the heights of students:

Raw Data: 148, 150, 145, 146, 150, 148, 147, 149, 151, 148, 149, 150, 145, 147, 149, 150, 146, 148, 145, 149, 148, 150

Organized Data:

Height (cm)Number of Students
1453
1462
1472
1485
1494
1505

Now let’s understand the Other Terms – Average, Central Tendency, Mean, Mode, and Median

Average: An average is a number that represents the central tendency of a group of observations or data.

Key measures of Central Tendency:

  • Mean (Arithmetic Mean)
  • Mode
  • Median

These measures represent the central point of a data set

Mean (Arithmetic Mean)

The mean is the average of a set of numbers.

Key Points:

  • Simply add up all the numbers.
  • Divide by how many numbers there are.
  • Formula: Sum of all observations / Number of observations

            Example: Find the mean of 3, 5, 7: 

                               Mean = 3 + 5 +7/3 = 15/3 = 5

Range: The range is the difference between the highest and lowest values in a data set.         

Example: Heights of ten boys: 150, 165, 154, 143, 166, 147, 161, 164, 158, 156

  • Range: 166 – 143 = 23 cm
  • Mean Height: Mean = 150 + 165 + 154 + 143 + 166 + 147 + 161 + 164 + 158 + 156/10 = 1564/10 = 156.4 cm

Graphical Representation of Data

The chapter Data Handling also explains the graphical representation of Data. A Bar Graph is a representation of numerical data by a number of bars of uniform width drawn horizontally or vertically with equal spacing between them. 

Example: Rainfall over days:

DaysMondayTuesdayWednesdayThursday
Rainfal (mm)86710
a visual representation of data handling in the form of calculating Rainfall in a region.

Bar Graph Example: Number of children in different classes:

ClassVIVIIVIIIIXXXIXII
Number of Children8065751001209080

(a) Represent the data on a bar graph. (b) How would you choose a scale? (c) Answer the following questions: (i) Which class has the maximum and minimum number of children? (ii) Find the ratio of students of class X to the students of class VI.

a visual representation of representation of data on a bar graph, another example of Data handling from class 7th math

Solution – (b) choose a scale

To choose an appropriate scale we make equal divisions taking increments of 10. Thus, 1 unit will represent 10 children.

(c) (i) Which cals  has the maximum and minimum number of children

Class X has the maximum number of students (120) and class VII has a minimum number of students (65). 

(c) (ii) Ratio of students of class X to the students of class VI

No of students in Class X/ No of students in class VI = 120/80 = 3/2.

Drawing double-bar graphs 

Double bar graphs compare two sets of data side by side.

Example: Favorite sports in a colony:

SportWatchingParticipating
Cricket1150650
Football550320
Hockey700320
Swimming350200
Badminton900500

Mode and Median

Mode

The mode is the most frequently occurring value in a data set.

Example: Data set: 1, 1, 2, 3, 4, 4, 2, 3, 3, 4, 5, 6, 4, 4, 5, 7

  • Mode: 4 (occurs most frequently)

Median

The median is the middle value of an ordered data set.

  • If n is odd: the Median is the middle term.
  • If n is even: the Median is the average of the two middle terms.

Example: Data set: 35, 37, 45, 50, 32, 43, 38 (ordered: 32, 35, 37, 38, 43, 45, 50)

  • Median: 38 (middle term)

Conclusion:

Understanding and handling data is essential for students to analyze information effectively. This chapter equips students with the skills to organize, interpret, and represent data accurately, preparing them for more advanced statistical concepts and real-world applications.

Practice questions on Chapter 3 - Data Handling

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Chapter 3 - Data Handling

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