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The problem is asking to determine the class width for a histogram where the number of people entering the atrium of a large mall has been recorded. From the histogram image, we can extract the necessary information to compute the class width.

Here's how you can solve the problem step-by-step:

1. **Class Limits Observation**: 
   From the histogram, the class intervals for the number of people appear to be:
   - 45–50
   - 50–55
   - 55–60
   - 60–65

2. **Class Width Calculation**:
   The class width is the difference between the lower limit of one class and the lower limit of the next class. For instance:
   \[
   \text{Class Width} = 50 - 45 = 5
   \]

Therefore, the class width is **5**.

Would you like more details, or do you have any questions?

Here are five related questions to consider:
1. What is the total number of intervals used in this histogram?
2. How can you calculate the frequency density for each class in a histogram?
3. Why is the class width important in constructing a histogram?
4. What is the difference between class limits and class boundaries?
5. How can the histogram be used to estimate the mean number of people entering the atrium?

**Tip**: When analyzing histograms, always check that the class intervals are consistent, as this affects the shape and interpretation of the data distribution.

What is the class width for the histogram showing the number of people entering the atrium in 10-minute intervals?

Learn how to determine the class width for a histogram that represents the number of people entering an atrium at 10-minute intervals. This guide provides a step-by-step explanation, including extracting class intervals and calculating class width. Suitable for middle school students (Grades 6-8).

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