To construct a skeletal box plot, we need the following values:
• Minimum value: 0.15
• First quartile (Q1): 0.215
• Median: 0.28
• Third quartile (Q3): 0.365
• Maximum value: 0.50

Create a skeleton box plot

Here is the skeletal box plot based on the values provided:

- Minimum value: 0.15
- First quartile (Q1): 0.215
- Median: 0.28
- Third quartile (Q3): 0.365
- Maximum value: 0.50

Do you have any questions or need more details?

Here are five related questions to explore:
1. How would you interpret each component of the box plot (min, Q1, median, Q3, max)?
2. What does the interquartile range (IQR) represent in a box plot?
3. How would adding outliers affect the box plot visualization?
4. How does a skeletal box plot differ from a full box plot?
5. What is the significance of the whiskers in a box plot?

**Tip:** The interquartile range (IQR) is a measure of statistical dispersion, representing the range between the first quartile (Q1) and the third quartile (Q3).

To construct a skeletal box plot, we need the following values: • Minimum value: 0.15 • First quartile (Q1): 0.215 • Median: 0.28 • Third quartile (Q3): 0.365 • Maximum value: 0.50

Learn how to create a skeletal box plot using the provided values for the minimum (0.15), first quartile (0.215), median (0.28), third quartile (0.365), and maximum (0.50). This guide explains key statistical concepts such as quartiles and the interquartile range (IQR). Suitable for high school students in Grades 9-12.

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