To analyze the box plot against the dataset \(19, 21, 23, 25, 27, 29\), we need to determine the five-number summary which consists of the minimum, lower quartile (Q1), median, upper quartile (Q3), and maximum.
- Minimum: The smallest value in the dataset is \(19\).
- Upper Quartile (Q3): This is the median of the upper half of the data. The upper half is \(25, 27, 29\). The median of these values is \(27\).
- Median: The median of the entire dataset \(19, 21, 23, 25, 27, 29\) is the average of \(23\) and \(25\), which is \(24\).
- Lower Quartile (Q1): This is the median of the lower half of the data \(19, 21, 23\). The median of these values is \(21\).
- Maximum: The largest value in the dataset is \(29\).
Now, let’s summarize:
- Minimum: \(19\)
- Q1: \(21\)
- Median: \(24\)
- Q3: \(27\)
- Maximum: \(29\)
Checking the box plot:
- The leftmost line (minimum) should be at \(19\),
- The first box (Q1 to median) should extend from \(21\) to \(24\),
- The second box (median to Q3) should extend from \(24\) to \(27\),
- The rightmost line (maximum) should be at \(29\).
Identifying Errors:
- Minimum: Correctly shown as \(19\).
- Q1 and Median: The first box is incorrectly shown extending from \(22\) to \(24\) instead of \(21\) to \(24\), which indicates Q1 is wrong.
- Upper Quartile: The second box is correct extending from \(24\) to \(27\) but the second box doesn’t represent Q3 correctly.
- Maximum: Correctly shown as \(29\).
Given the discrepancies, particularly the issues with the lower quartile below its correct value, the most fitting response is:
The box plot displays the wrong lower quartile and minimum values.