To evaluate the error on the box plot, we first need to determine the correct quartiles, median, minimum, and maximum of the provided dataset: 43, 44, 45, 46, 47, 48.
- Minimum: 43
- Maximum: 48
- Median: The median is the average of the two middle numbers (45 and 46) because there are 6 data points. So, \( \text{Median} = \frac{45 + 46}{2} = 45.5 \).
- Lower Quartile (Q1): The first quartile is the median of the first half of the data (43, 44, 45), which is 44.
- Upper Quartile (Q3): The third quartile is the median of the second half of the data (46, 47, 48), which is 47.
Now, let's compare these values with those represented in the box plot:
- The box plot shows two boxes from 45 to 45.5 and from 45.5 to 46, indicating incorrect quartiles.
- The minimum value displayed in the plot seems to be 43, which is correct, and the maximum at 48 is also correct.
- However, the median representation of 45.5 is correct, but the way it's depicted in the box plot doesn't align with the proper quartile values.
Given this analysis, the most accurate response is:
The box plot displays the wrong quartile values.