15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 data a Based on the boxplot above, identify the 5 number summary

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**Boxplot Analysis: Identifying the Five-Number Summary**

The provided image shows a boxplot representing a set of data points ranging from 15 to 30. The boxplot visually summarizes the distribution of the data using five key statistics, known as the five-number summary: minimum, first quartile (Q1), median, third quartile (Q3), and maximum.

**Boxplot Breakdown:**

- **Minimum (left whisker endpoint):** 16
- **First Quartile (Q1, left edge of the box):** 19
- **Median (line inside the box):** 22
- **Third Quartile (Q3, right edge of the box):** 24
- **Maximum (right whisker endpoint):** 27

**Task:**

Based on the boxplot above, you are prompted to identify and enter the five-number summary values into the corresponding boxes:

- Minimum: 16
- First Quartile (Q1): 19
- Median: 22
- Third Quartile (Q3): 24
- Maximum: 27

This exercise helps understand how to interpret boxplots and apply them in data analysis.
Transcribed Image Text:**Boxplot Analysis: Identifying the Five-Number Summary** The provided image shows a boxplot representing a set of data points ranging from 15 to 30. The boxplot visually summarizes the distribution of the data using five key statistics, known as the five-number summary: minimum, first quartile (Q1), median, third quartile (Q3), and maximum. **Boxplot Breakdown:** - **Minimum (left whisker endpoint):** 16 - **First Quartile (Q1, left edge of the box):** 19 - **Median (line inside the box):** 22 - **Third Quartile (Q3, right edge of the box):** 24 - **Maximum (right whisker endpoint):** 27 **Task:** Based on the boxplot above, you are prompted to identify and enter the five-number summary values into the corresponding boxes: - Minimum: 16 - First Quartile (Q1): 19 - Median: 22 - Third Quartile (Q3): 24 - Maximum: 27 This exercise helps understand how to interpret boxplots and apply them in data analysis.
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