Grouping Data
Chapter Name : Data Handling |
Sub Topic Code : 104_08_05_03_01 |
Topic Name : Grouping Data |
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Sub Topic Name : Grouping Data |
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Introduction
Grouping of data reduces the difficulty in handling data
Pre-Requisites:
Basic knowledge about numbers and interpretation of numbers
Activity:
The interpretation of numerical data into bar graphs and pictographs by representing the sum of numbers the student collects from the urn. A raw data has all the points collected by a student. Various classes are defined by breaking the total class into intervals.
Real Life Question:
How are the sales of a particular company this year?
Key Words / FlashCards
| Key Words | Definitions (pref. in our own words) |
|---|---|
| Size of class | The difference between the upper limit and the lower limit of a class |
Learning aids / Gadgets
| Gadgets | How it can be used |
|---|---|
| Ice cream sticks, numbered coins | Take an urn and place numbered coins in them. Ask students to take three coins and sum up the numbers and collect ice cream sticks. Group the data by dividing the students into various intervals depending on the total points they collected. |
Real life uses :
Surveys, sales, predictions, reliability of a product, results, rates
Practical examples around us
| Examples | Explainations |
|---|---|
| survey | The statistics of a survey are compared using pictorial representations. |
| Sales of products | The annual sales of products are represented graphically to show the increase or decrease in the number of sales. |
What you learn in Theory:
The numerical data is represented into pictorial representations using pictographs, bar diagrams and double bar diagrams to interpret and compare them easily. The data should be grouped to make it easier for inferences.
What you learn in Practice:
Each student has different points which can be plotted in a pictograph by taking n number of sticks to be one unit and representing them. Bar graphs are made by defining n number of sticks to be unit height. Using double bar graphs, the points of various students can be compared. The number of students with points in a particular interval can be found by grouping the data.