Table of Contents
Data Handling is an important topic in statistics. It deals with the collecting set of data and maintaining security, confidentiality, and the preservation of the research data. Here data is nothing but a set of numeric values. Get more useful information regarding the data handling such as the types of data, definition, and terms used in the data handling. You can check out the solved example questions in the following sections of this page.
- Frequency Distribution
- Grouping of Data
- Worksheet on Data Handling
- Bar Graph or Column Graph
- Worksheet on Bar Graphs or Column Graphs
- Pie Chart
- Worksheet on Pie Chart
Data Handling Definition
Data handling is the process of collecting, recording, and representing information in a way that is helpful to others. Data is a collection of all numerical figures, observations that represents a particular kind of information.
Data handling is performed depending on the types of data. Data is classified into two types, such as Quantitative Data, Qualitative Data. Quantitive data gives numerical information, while qualitative data gives descriptive information about anything.
Important Terms of Data Handling
- Data: The collection of numerical figures regarding a kind of information is called the data.
- Raw Data: The collection of observations that are gathered initially is called the raw data.
- Range: The difference between the highest and lowest values in the data collection is called the range.
- Statistics: It deals with the collection, representation, analysis, and interpretation of numerical data.
Ways to Represent Data
The following are the simple ways to represent the data. Choose anyone for a better presentation.
- Bar Graph
- Line Graph
- Pictographs
- Histograms
- Stem and Leaf Plot
- Dot Plots
- Frequency Distribution
- Cumulative Tables and Graphs
Solved Examples on Data Handling
Example 1.
Given below are the marks (out of 150) in mathematics obtained by 20 students of a class in an annual examination.
86 75 69 23 72 120 56 82 96 45
100 66 73 46 19 55 46 99 110 105
Arrange the above data in ascending order and find
(i) the lowest marks obtained,
(ii) the highest marks obtained,
(iii) the range of the given data.
Solution:
Given data is
86 75 69 23 72 120 56 82 96 45
100 66 73 46 19 55 46 99 110 105
Arranging the above data in ascending order, we get
19 23 45 46 46 55 56 66 69 72
73 75 82 86 96 99 100 105 110 120
From the above data analysis, we can say that
The lowest marks obtained is 19.
The highest marks obtained is 120.
The range of the data is 120 – 19 = 101.
Example 2.
Given below are the heights (in cm) of 15 boys of a class:
135, 128, 146, 149, 127, 130, 145, 140, 131, 125, 136, 142, 144, 133, 129
Arrange the above data in ascending order and find
(i) the height of the tallest boy,
(ii) the height of the shortest boy,
(iii) the range of the given data.
Solution:
Given data sample is
135, 128, 146, 149, 127, 130, 145, 140, 131, 125, 136, 142, 144, 133, 129
The ascending order of the data is
125, 127, 128, 129, 130, 131, 133, 135, 136, 140, 142, 144, 145, 146, 149
From the above ascending order, we can find
(i) The height of the tallest boy is 149 cm
(ii) The height of the shortest boy is 125 cm.
(iii) The range is 149 – 125 = 24.
Example 3.
The daily wages of 24 laborer who works in the construction field are given below:
280, 150, 160, 500, 520, 460, 780, 590, 860, 450, 410, 425, 360, 1000, 950, 560, 590, 620, 250, 350, 380, 515, 790, 240
Arrange the above data in ascending order and find
(i) the highest amount is taken per day,
(ii) the lowest amount is taken per day,
(iii) the range of the given data.
Solution:
Given that,
The daily wages of 24 laborer in the construction field are 280, 150, 160, 500, 520, 460, 780, 590, 860, 450, 410, 425, 360, 1000, 950, 560, 590, 620, 250, 350, 380, 515, 790, 240
The ascending order of the given data is
150, 160, 240, 250, 280, 350, 360, 380, 410, 425, 450, 460, 500, 515, 520, 560, 590, 590, 620, 780, 790, 860, 950, 1000
From the ascending order, we can find
The highest amount on daily basis is 1000
The lowest amount taken is 150
The range of the given data is 1000 – 150 = 850
FAQs on Data Handling
1. What are the uses of data handling?
Various real-time uses of data handling are for recording water levels in rivers, for doctors to keep records of patients, to record the economical income of each household, etc.
2. What is the difference between data and information?
Data means raw and unorganized facts. While information is the proper structured and organized data.
3. What are the various methods of collecting data?
The various methods of collecting data are questionnaire, interview, schedule, case study, observation, and projective case study.
