Class Boundary
This article covers meaning, importance, steps & example of Class Boundary from statistical perspective.
What is Class Boundary?
Class boundary is the value that isolate any class in a frequency distribution data set. Class boundary is the midpoint of the upper class limit of one class and the lower class limit of the subsequent class.
Importance of Class Boundary
When we have different classes of data, there is always an upper and a lower class limit for it i.e. the dataset has a smallest and largest value. Class boundary is the middle point between the upper class limit of one class and the lower class limit of the other class. Each class thus has an upper and a lower class boundary. It must be noted that upper class boundary of one class and the lower class boundary of the subsequent class are the same. Class boundaries are not a part of the dataset.
Steps to Calculate Class Boundary
To evaluate class boundary in statistics, the following steps are done:
1. The upper limit of a class and the lower limit of the immediate next class is to be identified
2. Subtract and calculate the gap between the upper & lower limits.
3. Divide the subtracted value by 2 and add it to the upper limit of the lower class.
Example of Class Boundary
Consider an example with where there are 3 classes with the following frequency of units:
|
Class |
Frequency |
|
0 - 9 |
2 |
|
10 - 19 |
5 |
|
20 - 29 |
7 |
Here the class boundary of class 10 – 19 can be given as follows :
Lower class boundary = (lower class limit of the concerned class + upper class limit of the previous class)/2
= (10 + 9)/2 = 9.5
Upper class boundary = (upper class limit of the concerned class + lower class limit of the Subsequent class)/2
= (19 + 20)/2 = 19.5
Hence, this concludes the definition of Class Boundary along with its overview.
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