Class Limits for Grouped Frequency Distribution

Class limits are the numerical values that separate one class from another in a grouped frequency distribution. They are the lower and upper bounds of each class. For example, if we have a set of data ranging from 0 to 100, we can divide it into 10 classes of 10 units each. The first class would have a lower limit of 0 and an upper limit of 9, the second class would have a lower limit of 10 and an upper limit of 19, and so on.

Class limits are important because they help to ensure that each data point is assigned to the correct class. They also help to ensure that each class is of equal size, which makes it easier to compare different classes.

Class boundaries, on the other hand, are the values that define the edges of each class. They are the values that are halfway between the upper and lower limits of each class. For example, if the lower limit of a class is 0 and the upper limit is 9, the class boundary would be 4.5.

While class boundaries can be useful in certain situations, they are not necessary for constructing a grouped frequency distribution. The only thing that is required is the class limits.

In summary, class limits are the numerical values that separate one class from another in a grouped frequency distribution. They are important for ensuring that each data point is assigned to the correct class and that each class is of equal size. Class boundaries, while sometimes useful, are not necessary for constructing a grouped frequency distribution.