Listed below are the measured radiation absorption rates​ (in W/kg) corresponding to 11 cell phones. Use the given data to construct a boxplot and identify the​ 5-number summary.
1.38
0.92
1.32
0.97
1.41
1.46
0.61
1.49
1.48
0.52
1.17
 
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Part 1
The​ 5-number summary is 
  
. 52​, 
  
enter your response here​, 
  
enter your response here​, 
  
enter your response here​, and 
  
enter your response here​, all in​ W/kg.
​(Use ascending order. Type integers or decimals. Do not​ round.)

The 5-number summary for the given radiation absorption rates (in W/kg) is as follows:

- Minimum: 0.52
- First Quartile (Q1): 0.945
- Median (Q2): 1.32
- Third Quartile (Q3): 1.435
- Maximum: 1.49

Would you like me to generate the boxplot as well?

Here are 5 related questions to consider:
1. What does each quartile represent in a data set?
2. How does a boxplot visually display outliers?
3. Can the median be closer to Q1 or Q3 in a boxplot? Why?
4. What effect do extreme values have on the range of the data?
5. How can interquartile range (IQR) help in identifying outliers?

**Tip:** The interquartile range (IQR), which is the difference between Q3 and Q1, can help in identifying potential outliers in your data.

Listed below are the measured radiation absorption rates​ (in W/kg) corresponding to 11 cell phones. Use the given data to construct a boxplot and identify the​ 5-number summary.
1.38
0.92
1.32
0.97
1.41
1.46
0.61
1.49
1.48
0.52
1.17

The​ 5-number summary is
  .52​,  enter your response here​,  enter your response here​,  enter your response here​, and  enter your response here​, all in​ W/kg.​

Analyze the 5-number summary for radiation absorption rates (in W/kg) for 11 cell phones, including minimum, first quartile, median, third quartile, and maximum values. Learn how to construct a boxplot using this data, suitable for students in Grades 9-12.

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