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To identify the **five-number summary** from the boxplot, we need to extract the following key data points:

1. **Minimum**: The smallest value.
2. **First Quartile (Q1)**: The 25th percentile.
3. **Median**: The middle value (50th percentile).
4. **Third Quartile (Q3)**: The 75th percentile.
5. **Maximum**: The largest value.

### Based on the boxplot provided:
- **Minimum**: The smallest value is at 7.
- **First Quartile (Q1)**: The first quartile is at 10.
- **Median**: The median (middle value) is at 13.
- **Third Quartile (Q3)**: The third quartile is at 17.
- **Maximum**: The largest value is at 20.

### The five-number summary is:
- Minimum: 7
- Q1: 10
- Median: 13
- Q3: 17
- Maximum: 20

Would you like further details or clarification?

Here are 5 questions to expand your understanding:
1. How is the interquartile range (IQR) calculated using the five-number summary?
2. What does the shape of the boxplot tell us about the distribution of the data?
3. How does the presence of outliers affect the five-number summary?
4. What is the significance of the median in the boxplot?
5. How do you interpret the difference between Q3 and Q1?

**Tip**: The larger the box (between Q1 and Q3), the more spread out the middle 50% of the data.

Based on the boxplot above, identify the five-number summary.

Learn how to identify the five-number summary (Minimum, Q1, Median, Q3, Maximum) from a boxplot. This example uses data between 7 and 20, demonstrating how quartiles and the median divide the data for analysis.

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