To answer these questions, we need to interpret a boxplot. Here's a general guide to understanding the relevant parts of a boxplot:

1. Median: This is the middle value of the data set, represented by the line inside the box.
2. Q1 (First Quartile): This is the median of the lower half of the data, marking the 25th percentile.
3. Q3 (Third Quartile): This is the median of the upper half of the data, marking the 75th percentile.
4. Percent of Data Between Q1 and Q3: This region contains the interquartile range (IQR), which is the middle 50% of the data.

Without seeing the actual boxplot, I can explain how to match the options provided with these concepts:

1. Identify the Median:

   • The median is represented by the line inside the box. Choose the value from the options that aligns with this line.

2. Identify Q1:

   • Q1 is the value at the left edge of the box. Choose the value that matches this position.

3. Identify Q3:

   • Q3 is the value at the right edge of the box. Choose the value that corresponds to this position.

4. Percent of Data Between Q1 and Q3:

   • The data between Q1 and Q3 represents the interquartile range, which is always 50% of the data.

Given the typical interpretation of a boxplot:

• Question 1: The median is likely 17.
• Question 2: Q1 is likely 9.
• Question 3: Q3 is likely 24.
• Question 4: About 50% of the data falls between Q1 and Q3.

These are educated guesses based on common boxplot structures.

Do you have any questions or need more details?

Here are 5 related questions for further practice:

1. What does the whisker length in a boxplot indicate?
2. How do you calculate the interquartile range (IQR)?
3. What is an outlier in the context of a boxplot?
4. How would you find the mean from a boxplot?
5. Can a boxplot be skewed? How would you identify this?

Tip: Remember, the box itself in a boxplot represents the middle 50% of the data, so the edges of the box mark Q1 and Q3, and the line inside marks the median.