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

The 5-number summary for the given systolic readings is:

- Minimum: 120
- Q1 (First Quartile): 125.5
- Median: 133.0
- Q3 (Third Quartile): 138.25
- Maximum: 150

Would you like more details on how these values were calculated or have any questions?

Here are 5 related questions to explore:
1. How do quartiles divide data in a dataset?
2. What does the interquartile range (IQR) tell us about a dataset?
3. How are outliers identified using a boxplot?
4. What does the median represent in a dataset?
5. How does a boxplot help visualize the spread and distribution of data?

**Tip:** The interquartile range (IQR) can be used to detect outliers by identifying values below Q1 - 1.5*IQR or above Q3 + 1.5*IQR.

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

Learn how to create a boxplot and determine the 5-number summary for systolic blood pressure readings. This example uses a dataset from 14 second-year medical students measuring the same person's blood pressure, covering concepts in descriptive statistics. Suitable for students in Grades 10-12.

Math Problem Statement

Solution

Ask a new question for Free

By Image

Math Problem Analysis

Mathematical Concepts

Formulas

Theorems

Suitable Grade Level

Related Recommendation