Fourteen different​ second-year medical students at a hospital measured the blood pressure of the same person. The systolic readings​ (mm Hg) are listed below. Use the given data to construct a boxplot and identify the​ 5-number summary.

120

127

135

120

120

125

134

130

147

139

132

140

136

150

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Here are 5 questions related to this topic:
1. What does each part of the five-number summary tell us about the data?
2. How do outliers influence the shape of a boxplot?
3. How can you calculate the interquartile range (IQR) from the five-number summary?
4. What could explain variability in systolic blood pressure readings across different measurements?
5. How does a boxplot help in detecting skewness in data?

**Tip:** In medical data analysis, boxplots are commonly used to identify outliers and patterns in repeated measurements.

Fourteen different second-year medical students at a hospital measured the blood pressure of the same person. The systolic readings (mm Hg) are listed below. Use the given data to construct a boxplot and identify the 5-number summary. Readings: 120, 127, 135, 120, 120, 125, 134, 130, 147, 139, 132, 140, 136, 150.

Learn how to construct a boxplot using systolic blood pressure readings from 14 medical students. This problem covers key statistical concepts like the five-number summary, including the minimum, first quartile, median, third quartile, and maximum. Suitable for Grades 10-12.

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