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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

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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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
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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