Listed below are amounts of​ strontium-90 (in​ millibecquerels, or​ mBq) in a simple random sample of baby teeth obtained from residents in a region born after 1979. Use the given data to construct a boxplot and identify the​ 5-number summary.
128,130,133,137,140,142,145,148,151,152, 
154,156,156,158,160,163,164,165,169,176


The 5-number summary for the given Strontium-90 levels (in millibecquerels) is:

- Minimum: 128
- First Quartile (Q1): 141.5
- Median: 153.0
- Third Quartile (Q3): 160.75
- Maximum: 176

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Here are 5 related questions:
1. What does each value in the 5-number summary represent?
2. How do outliers affect the shape of a boxplot?
3. What conclusions can you draw from the spread of the data?
4. Can the interquartile range (IQR) help identify potential outliers?
5. How would this boxplot change if you added more data?

**Tip:** The interquartile range (IQR) is a key metric for detecting outliers. It is calculated as \( IQR = Q3 - Q1 \). Outliers typically fall below \( Q1 - 1.5 \times IQR \) or above \( Q3 + 1.5 \times IQR \).

Listed below are amounts of​ strontium-90 (in​ millibecquerels, or​ mBq) in a simple random sample of baby teeth obtained from residents in a region born after 1979. Use the given data to construct a boxplot and identify the​ 5-number summary. 128,130,133,137,140,142,145,148,151,152, 154,156,156,158,160,163,164,165,169,176

Analyze the amounts of Strontium-90 (in millibecquerels) from baby teeth in residents born after 1979 with a boxplot and a detailed 5-number summary. Understand how to calculate the interquartile range and detect outliers using key statistical concepts. Suitable for Grades 9-12.

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