Using all 1991 birth records in the computerized national birth certificate registry compiled by the National Center for Health Statistics (NCHS), statisticians Traci Clemons and Marcello Pagano found that the birth weights of babies in the United States are not symmetric ("Are babies normal?" The American Statistician, Nov 1999, 53:4). However, they also found that when infants born outside of the "typical" 37-43 weeks and infants born to mothers with a history of diabetes are excluded, the birth weights of the remaining infants do follow a Normal model with mean u = 3432 g and standard deviation o = 482 g. The following questions refer to infants born from 37 to 43 weeks whose mothers did not have a history of diabetes. Compute the z-score of an infant who weighs 3374 g. (Round your answer to two decimal places.) Approximately what fraction of infants would you expect to have birth weights between 3210 g and 4140 g? (Express your answer as a decimal, not a percent, and round to three decimal places.) Approximately what fraction of infants would you expect to have birth weights above 4140 g? (Express your answer as a decimal, not a percent, and round to three decimal places.) A medical researcher wishes to study infants with high birth weights and seeks infants with birth weights among the heaviest 15%. Above what weight must an infant's birth weight be in order for the infant be included in the study? (Round your answer to the nearest gram.)
Using all 1991 birth records in the computerized national birth certificate registry compiled by the National Center for Health Statistics (NCHS), statisticians Traci Clemons and Marcello Pagano found that the birth weights of babies in the United States are not symmetric ("Are babies normal?" The American Statistician, Nov 1999, 53:4). However, they also found that when infants born outside of the "typical" 37-43 weeks and infants born to mothers with a history of diabetes are excluded, the birth weights of the remaining infants do follow a Normal model with mean u = 3432 g and standard deviation o = 482 g. The following questions refer to infants born from 37 to 43 weeks whose mothers did not have a history of diabetes. Compute the z-score of an infant who weighs 3374 g. (Round your answer to two decimal places.) Approximately what fraction of infants would you expect to have birth weights between 3210 g and 4140 g? (Express your answer as a decimal, not a percent, and round to three decimal places.) Approximately what fraction of infants would you expect to have birth weights above 4140 g? (Express your answer as a decimal, not a percent, and round to three decimal places.) A medical researcher wishes to study infants with high birth weights and seeks infants with birth weights among the heaviest 15%. Above what weight must an infant's birth weight be in order for the infant be included in the study? (Round your answer to the nearest gram.)
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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![Using all 1991 birth records in the computerized national birth certificate registry compiled by the National Center for Health Statistics (NCHS), statisticians Traci Clemons and Marcello Pagano found that the birth weights of babies in the United States are not symmetric ("Are babies normal?" *The American Statistician*, Nov 1999, 53:4). However, they also found that when infants born outside of the "typical" 37–43 weeks and infants born to mothers with a history of diabetes are excluded, the birth weights of the remaining infants do follow a Normal model with mean μ = 3432 g and standard deviation σ = 482 g. The following questions refer to infants born from 37 to 43 weeks whose mothers did not have a history of diabetes.
1. Compute the z-score of an infant who weighs 3374 g. (Round your answer to two decimal places.)
[Answer Box]
2. Approximately what fraction of infants would you expect to have birth weights between 3210 g and 4140 g? (Express your answer as a decimal, not a percent, and round to three decimal places.)
[Answer Box]
3. Approximately what fraction of infants would you expect to have birth weights above 4140 g? (Express your answer as a decimal, not a percent, and round to three decimal places.)
[Answer Box]
4. A medical researcher wishes to study infants with high birth weights and seeks infants with birth weights among the heaviest 15%. Above what weight must an infant’s birth weight be in order for the infant be included in the study? (Round your answer to the nearest gram.)
[Answer Box]
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Transcribed Image Text:Using all 1991 birth records in the computerized national birth certificate registry compiled by the National Center for Health Statistics (NCHS), statisticians Traci Clemons and Marcello Pagano found that the birth weights of babies in the United States are not symmetric ("Are babies normal?" *The American Statistician*, Nov 1999, 53:4). However, they also found that when infants born outside of the "typical" 37–43 weeks and infants born to mothers with a history of diabetes are excluded, the birth weights of the remaining infants do follow a Normal model with mean μ = 3432 g and standard deviation σ = 482 g. The following questions refer to infants born from 37 to 43 weeks whose mothers did not have a history of diabetes.
1. Compute the z-score of an infant who weighs 3374 g. (Round your answer to two decimal places.)
[Answer Box]
2. Approximately what fraction of infants would you expect to have birth weights between 3210 g and 4140 g? (Express your answer as a decimal, not a percent, and round to three decimal places.)
[Answer Box]
3. Approximately what fraction of infants would you expect to have birth weights above 4140 g? (Express your answer as a decimal, not a percent, and round to three decimal places.)
[Answer Box]
4. A medical researcher wishes to study infants with high birth weights and seeks infants with birth weights among the heaviest 15%. Above what weight must an infant’s birth weight be in order for the infant be included in the study? (Round your answer to the nearest gram.)
[Answer Box]
[Next Question]
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