How do I calculate the class width in Excel?

To calculate the class width in Excel, you can use the formula (maximum value – minimum value) / number of classes. This will give you the interval range that each class represents. You can then use this information to create a frequency table or histogram for your data. Simply input the formula in a cell and adjust the values according to your data set. This method is useful for organizing and analyzing data in a visually appealing and easy-to-understand format.

Calculate Class Width in Excel


In a frequency distribution, class width refers to the difference between the upper and lower boundaries of any class or category.

For example, the following frequency distribution has a class width of 4:

Frequency table in Excel

e.g. – the class width for the first class is 5-1 = 4. The class width for the second class is 10-6 = 4, and so on.

And the following frequency distribution has a class width of 9:

Frequency distribution in Excel

e.g. – the class width for the first class is 10-1 = 9. The class width for the second class is 20-11 = 9, and so on.

If you have a raw dataset of values, you can calculate the class width by using the following formula:

Class width = (max – min) / n

where:

  • max is the maximum value in a dataset
  • min is the minimum value in a dataset
  • n is the number of classes you want to use

The following example illustrates how to calculate class width for a dataset in Excel.

Example: How to Calculate Class Width in Excel

Suppose we have the following dataset of 20 values in Excel:

Raw data in Excel

To calculate the class width for a frequency distribution of this dataset, we simply need to decide how many classes we want to use. Suppose we want to use n = 5. Then we can use the following formula to find the class width:

Class width calculation in Excel

Lastly, we can create a frequency table that uses a class width of 5:

Class width calculation in Excel

Notice that the width for each class is 5 and the sum of the values in the “Frequency” column adds up to 20, which matches the total number of values in our dataset.

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