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To help you complete part (b) of the question, we'll construct a frequency distribution of the data given in the table. Let's start by organizing the number of customers into the specified ranges and counting their frequencies.

Here are the ranges provided for the frequency distribution:

- 1–3
- 4–6
- 7–9
- 10–12
- 13–15

Now, let's count how many values fall into each range:

**Number of Customers and their Frequencies:**

1. **Range 1–3:** 
   - Values: None.
   - Frequency: 0

2. **Range 4–6:** 
   - Values: 5, 6, 6, 6, 5
   - Frequency: 5

3. **Range 7–9:** 
   - Values: 7, 8, 9, 8, 8, 8, 9, 7, 9, 9, 9, 8
   - Frequency: 12

4. **Range 10–12:** 
   - Values: 10, 10, 11, 10, 11, 12, 12, 11, 12, 10
   - Frequency: 10

5. **Range 13–15:** 
   - Values: 14, 13, 13, 14, 15, 13
   - Frequency: 6

So, the completed frequency distribution is as follows:

| Number of Customers | Frequency |
|---------------------|-----------|
| 1–3                 | 0         |
| 4–6                 | 5         |
| 7–9                 | 12        |
| 10–12               | 10        |
| 13–15               | 6         |

Would you like more details or have any questions?

Here are some related questions:

1. How would the frequency distribution change if the data were grouped differently?
2. What is the mode of this data set?
3. How would you calculate the mean number of customers?
4. What is the range of the number of customers waiting?
5. How could a histogram represent this frequency distribution?

**Tip:** When analyzing data, always check the number of data points to ensure that the total matches the expected count. This helps confirm that the frequency distribution is accurate.

The data to the right represent the number of customers waiting for a table at 6:00 P.M. for 40 consecutive Saturdays at Bobak's Restaurant. Are these data discrete or continuous? Explain. Construct a frequency distribution of the data.

This problem involves analyzing customer data from Bobak's Restaurant and constructing a frequency distribution. Learn how to differentiate between discrete and continuous data, and create a frequency distribution based on customer counts over 40 Saturdays. Suitable for Grades 7-9.

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