2. A researcher visited 29 randomly selected Starbucks locations and recorded the number of cappuccinos sold at each coffee shop on March 22. He summarized the data in the following frequency distribution table: For this scenario, identify the following: 1. Variable 2. Individual (Subject) 3. Sample Variable Frequency 5-9 2

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### Analysis of Cappuccino Sales Data

A researcher visited 29 randomly selected Starbucks locations to record the number of cappuccinos sold at each coffee shop on March 22. The summarized data is presented in the following frequency distribution table:

#### Frequency Distribution Table

| Range (Variable) | Frequency |
|------------------|-----------|
| 5-9              | 2         |
| 10-14            | 5         |
| 15-19            | 8         |
| 20-24            | 10        |
| 25-29            | 4         |

#### Questions for Analysis

1. **Variable**: Number of cappuccinos sold.
2. **Individual (Subject)**: Each Starbucks location.
3. **Sample**: The selected Starbucks locations.
4. **Sample Size**: 29 locations.
5. **Class (Bin) Width**: 5 (e.g., 10-14).
6. **Is the Variable Discrete or Continuous?**: Discrete.
7. **Number of Locations Selling at Least 10 Cappuccinos**: Sum the frequencies from the 10-14 to 25-29 ranges.
8. **Percentage of Locations Selling at Least 10 Cappuccinos**: Calculate the percentage of these locations out of the total sample size.

By analyzing the frequency distribution, one can understand how cappuccino sales vary across different Starbucks locations on the given day. This helps in identifying sales patterns and making informed business decisions.
Transcribed Image Text:### Analysis of Cappuccino Sales Data A researcher visited 29 randomly selected Starbucks locations to record the number of cappuccinos sold at each coffee shop on March 22. The summarized data is presented in the following frequency distribution table: #### Frequency Distribution Table | Range (Variable) | Frequency | |------------------|-----------| | 5-9 | 2 | | 10-14 | 5 | | 15-19 | 8 | | 20-24 | 10 | | 25-29 | 4 | #### Questions for Analysis 1. **Variable**: Number of cappuccinos sold. 2. **Individual (Subject)**: Each Starbucks location. 3. **Sample**: The selected Starbucks locations. 4. **Sample Size**: 29 locations. 5. **Class (Bin) Width**: 5 (e.g., 10-14). 6. **Is the Variable Discrete or Continuous?**: Discrete. 7. **Number of Locations Selling at Least 10 Cappuccinos**: Sum the frequencies from the 10-14 to 25-29 ranges. 8. **Percentage of Locations Selling at Least 10 Cappuccinos**: Calculate the percentage of these locations out of the total sample size. By analyzing the frequency distribution, one can understand how cappuccino sales vary across different Starbucks locations on the given day. This helps in identifying sales patterns and making informed business decisions.
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