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To determine the class width, we subtract the lower boundary of a class from the lower boundary of the next class.

For example:
The first class is 200–209, and the second class is 210–219.
The class width is calculated as:
\[
210 - 200 = 10
\]

Thus, the class width is **10**.

Would you like more details or have any questions?

Here are five related questions for further exploration:
1. How do you determine the class midpoint for each interval?
2. What is the total frequency in this data set?
3. How would you calculate the relative frequency for each class?
4. Can you identify the class boundaries for the intervals?
5. How do you create a histogram using this data?

**Tip:** Always double-check the range between intervals to confirm the class width accurately.

Data was collected for 222 randomly selected 10-minute intervals. For each ten-minute interval, the number of people entering the atrium of a large mall were recorded. The data is summarized in the table below:

Number of Guests | Frequency
200–209 | 28
210–219 | 68
220–229 | 30
230–239 | 46
240–249 | 50

What is the class width?

Learn how to calculate the class width for a frequency distribution table. The example involves data on people entering a mall over random 10-minute intervals, with a step-by-step explanation for finding the class width.

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