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. 124 151 125 151 128 153 133 156 136 157 138 164 (...) The 5-number summary is 124, 136.25, 149, 164.12, and 174, all in mBq. (Use ascending order. Type integers or decimals. Do not round.) 141 166 143 167 145 169 147 174 0
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. 124 151 125 151 128 153 133 156 136 157 138 164 (...) The 5-number summary is 124, 136.25, 149, 164.12, and 174, all in mBq. (Use ascending order. Type integers or decimals. Do not round.) 141 166 143 167 145 169 147 174 0
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![### Strontium-90 Levels in Baby Teeth: Data Analysis
In the study of environmental health, it is important to analyze data samples to understand potential risks. Listed below are amounts of strontium-90 (in millibecquerels, or mBq) taken from a simple random sample of baby teeth. These samples were obtained from residents in a region who were born after 1979. The dataset provided can be used to construct a boxplot and identify the 5-number summary.
#### Recorded Strontium-90 Levels (in mBq):
124, 125, 128, 133, 136, 138, 141, 143, 145, 147, 151, 151, 153, 156, 157, 164, 166, 167, 169, 174
#### 5-Number Summary:
The 5-number summary, which includes the minimum, first quartile (Q1), median, third quartile (Q3), and maximum, is calculated as follows:
- Minimum: **124**
- First Quartile (Q1): **136.25**
- Median: **149**
- Third Quartile (Q3): **164.12**
- Maximum: **174**
These values provide a useful summary of the data distribution, allowing for quick insights into the spread and central tendency of the data.
### Boxplot:
A boxplot (or box-and-whisker plot) would visually represent the 5-number summary and allow for easy identification of the central range and potential outliers in the dataset.
**How to Construct a Boxplot:**
1. **Draw a number line** that includes the range of the data (from 124 to 174).
2. **Mark the 5-number summary** on the number line: 124, 136.25, 149, 164.12, and 174.
3. **Draw a box** from the first quartile (136.25) to the third quartile (164.12). This represents the interquartile range (IQR).
4. **Draw a line** (or "whisker") from the minimum value (124) to the first quartile (136.25) and from the third quartile (164.12) to the maximum value (174).
5. Mark the **median** (149) inside the box.
This graphical representation will help](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffea94a50-e8e7-419f-bb62-28be718638fb%2Fcc61ce98-09e5-4373-aea4-fb4a7122ccc8%2F1egqrx_processed.png&w=3840&q=75)
Transcribed Image Text:### Strontium-90 Levels in Baby Teeth: Data Analysis
In the study of environmental health, it is important to analyze data samples to understand potential risks. Listed below are amounts of strontium-90 (in millibecquerels, or mBq) taken from a simple random sample of baby teeth. These samples were obtained from residents in a region who were born after 1979. The dataset provided can be used to construct a boxplot and identify the 5-number summary.
#### Recorded Strontium-90 Levels (in mBq):
124, 125, 128, 133, 136, 138, 141, 143, 145, 147, 151, 151, 153, 156, 157, 164, 166, 167, 169, 174
#### 5-Number Summary:
The 5-number summary, which includes the minimum, first quartile (Q1), median, third quartile (Q3), and maximum, is calculated as follows:
- Minimum: **124**
- First Quartile (Q1): **136.25**
- Median: **149**
- Third Quartile (Q3): **164.12**
- Maximum: **174**
These values provide a useful summary of the data distribution, allowing for quick insights into the spread and central tendency of the data.
### Boxplot:
A boxplot (or box-and-whisker plot) would visually represent the 5-number summary and allow for easy identification of the central range and potential outliers in the dataset.
**How to Construct a Boxplot:**
1. **Draw a number line** that includes the range of the data (from 124 to 174).
2. **Mark the 5-number summary** on the number line: 124, 136.25, 149, 164.12, and 174.
3. **Draw a box** from the first quartile (136.25) to the third quartile (164.12). This represents the interquartile range (IQR).
4. **Draw a line** (or "whisker") from the minimum value (124) to the first quartile (136.25) and from the third quartile (164.12) to the maximum value (174).
5. Mark the **median** (149) inside the box.
This graphical representation will help
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