To identify the 5-number summary from the boxplot:

1. Minimum: The smallest data point represented by the leftmost point on the plot. From the boxplot, it appears to be 7.

2. First Quartile (Q1): The median of the lower half of the data, which is marked by the left edge of the box. From the plot, it's around 9.

3. Median (Q2): The middle value of the dataset, marked by the line inside the box. From the plot, the median is around 13.

4. Third Quartile (Q3): The median of the upper half of the data, marked by the right edge of the box. From the plot, it's about 15.

5. Maximum: The largest data point represented by the rightmost point on the plot. From the boxplot, it seems to be 19.

Thus, the 5-number summary is:

• Minimum = 7
• Q1 = 9
• Median = 13
• Q3 = 15
• Maximum = 19

Would you like further clarification or additional details?

Here are 5 related questions you can explore:

1. How do you calculate the interquartile range (IQR)?
2. What is the significance of outliers in boxplots?
3. How do you draw a boxplot by hand for a small dataset?
4. How does the 5-number summary help in understanding data spread and central tendency?
5. How do boxplots compare with histograms in representing data distributions?

Tip: Boxplots are a great visual tool for quickly understanding the spread, central tendency, and potential outliers in a dataset.