Formula:
Class width = Upper class limit - Lower class limit
Example:
Consider a frequency distribution with the following class intervals:
* 0-10
* 10-20
* 20-30
The class width for each interval is:
* 10 - 0 = 10
* 20 - 10 = 10
* 30 - 20 = 10
Importance of Class Width:
* Data organization: Class width helps organize data into meaningful groups.
* Data visualization: It determines the number of bars or intervals in a histogram or frequency polygon.
* Analysis: Class width affects the shape and interpretation of the frequency distribution.
Choosing an appropriate class width:
* The class width should be large enough to encompass a reasonable number of data points.
* It should be small enough to provide sufficient detail about the distribution.
* It should be consistent across all class intervals.
Note:
* Class width is also referred to as class interval or bin width.
* The upper class limit is the highest value that can belong to a particular class.
* The lower class limit is the lowest value that can belong to a particular class.