The numbers of customers entering each of two stores every hour were recorded. The results are shown. Which statement about the number of customers at the stores is not correct?

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The numbers of customers entering each of two stores every hour were recorded. The results are shown. Which statement about the number of customers at the stores is not correct?

This image contains two box plots comparing data from Store A and Store B. 

### Box Plot Explanation:

**Store A:**
- The minimum value is at approximately 28.
- The lower quartile is at 31.
- The median is around 33.
- The upper quartile is at approximately 37.
- The maximum value extends to about 43.

**Store B:**
- The minimum value is at approximately 28.
- The lower quartile is at 30.
- The median is around 33.
- The upper quartile is at approximately 35.
- The maximum value extends to about 41.

### Interpretation:
Each box plot displays the range of data for Stores A and B, indicating the distribution and spread of the dataset. The boxes represent the interquartile range (IQR), and the lines (whiskers) show the full data range. The median line inside the box highlights where the central 50% of the data is concentrated.
Transcribed Image Text:This image contains two box plots comparing data from Store A and Store B. ### Box Plot Explanation: **Store A:** - The minimum value is at approximately 28. - The lower quartile is at 31. - The median is around 33. - The upper quartile is at approximately 37. - The maximum value extends to about 43. **Store B:** - The minimum value is at approximately 28. - The lower quartile is at 30. - The median is around 33. - The upper quartile is at approximately 35. - The maximum value extends to about 41. ### Interpretation: Each box plot displays the range of data for Stores A and B, indicating the distribution and spread of the dataset. The boxes represent the interquartile range (IQR), and the lines (whiskers) show the full data range. The median line inside the box highlights where the central 50% of the data is concentrated.
### Interpretation of Customer Data for Store Analysis

The image presents a list of statements related to customer activity at two hypothetical stores, labeled as Store A and Store B. It suggests analyzing the data based on certain statistical measures. Below are the statements for analysis:

1. **A. Store A had the higher median.**
   - This suggests comparing the median number of customers between Store A and Store B to determine which store typically has more customers at the midpoint.

2. **B. Store A had the hour with the fewest customers.**
   - This statement involves identifying which store had the least number of customers during a specific hour in the dataset.

3. **C. The typical number of customers for Store A was higher than for store B.**
   - This compares the typical (average) customer numbers between the two stores.

4. **D. The spread of data for store A was greater than for store B.**
   - This looks at the variability or range of the number of customers, indicating which store had more variability in customer numbers.

### Explanation

* **Median:** A measure of central tendency, indicating the middle value when the data is ordered.
* **Typical Number of Customers:** Usually refers to the mean or average number of customers.
* **Spread of Data:** Reflects the variability in the data, often measured by range, variance, or standard deviation.

The image does not contain any graphs or diagrams, only these statements. For a proper analysis, access to actual data would be necessary to verify these statements. This would involve calculations based on real customer data from the respective stores.
Transcribed Image Text:### Interpretation of Customer Data for Store Analysis The image presents a list of statements related to customer activity at two hypothetical stores, labeled as Store A and Store B. It suggests analyzing the data based on certain statistical measures. Below are the statements for analysis: 1. **A. Store A had the higher median.** - This suggests comparing the median number of customers between Store A and Store B to determine which store typically has more customers at the midpoint. 2. **B. Store A had the hour with the fewest customers.** - This statement involves identifying which store had the least number of customers during a specific hour in the dataset. 3. **C. The typical number of customers for Store A was higher than for store B.** - This compares the typical (average) customer numbers between the two stores. 4. **D. The spread of data for store A was greater than for store B.** - This looks at the variability or range of the number of customers, indicating which store had more variability in customer numbers. ### Explanation * **Median:** A measure of central tendency, indicating the middle value when the data is ordered. * **Typical Number of Customers:** Usually refers to the mean or average number of customers. * **Spread of Data:** Reflects the variability in the data, often measured by range, variance, or standard deviation. The image does not contain any graphs or diagrams, only these statements. For a proper analysis, access to actual data would be necessary to verify these statements. This would involve calculations based on real customer data from the respective stores.
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