How To Find Class Limits in Statistics?

Answer: In statistics, class limits are the smallest and largest values that can belong to each class in a frequency distribution.

To find class limits, you first need to determine the range of your data set (the difference between the maximum and minimum values) and decide on the number of classes you want to have. The range divided by the number of classes gives you the class width (round up if necessary to make calculations easier).

The lower class limit of the first class is the smallest value in your data set, and the upper class limit is determined by adding the class width to the lower class limit, minus one if you’re working with whole numbers.

For example, if your data range from 1 to 100 and you want 10 classes, your class width would be (100−1)/10 = 9.9, rounded up to 10 for simplicity. The first class would have lower and upper limits of 1 and 10, the second class 11 to 20, and so on.

In conclusion, finding class limits involves determining the range and desired number of classes to calculate class width, then systematically applying these to set the boundaries for each class.