To determine which statement best describes the data represented in the box plots, we need to analyze each response in relation to the standard interpretation of box plots:
A. The range of customers for Shop 1 is 50.
- This statement suggests that the difference between the minimum and maximum values is 50. To verify whether this is true, we would need to look at the specific data points represented in the box plot.
B. For half the days at Shop 2, the number of customers was less than 50.
- This statement implies that the median of Shop 2 is less than 50, which may or may not be true based on the box plot.
C. For half the days at Shop 1, the number of customers was between 50 and 80.
- This statement indicates that the interquartile range (IQR) or the middle 50% of the data is between 50 and 80. This is determined by the location of the box in the box plot.
D. The range of customers for Shop 2 is 50.
- This statement suggests that the difference between the minimum and maximum values for Shop 2 is also 50. As with option A, this needs to be validated against the box plot data.
Without the visual box plot data, we cannot definitively say which statement is correct. However, if you can confirm the position of the quartiles and the min/max values for Shop 1 and Shop 2, you can use that information to pick the correct statement. Generally:
- For ranges, subtract the minimum from the maximum.
- The median divides the data into two equal parts.
- The IQR represents the range where the middle 50% of the data falls.
If you have the specific values or additional context, I can help further refine the answer!