5. A hospital would like to conduct a study to investigate the mean birth weight of children born at their facility. What sample size would they need to be 95% certain that their estimate of the mean is within a margin of error of 2 ounces assuming the population standard deviation is equal to 12 ounces?
5. A hospital would like to conduct a study to investigate the mean birth weight of children born at their facility. What sample size would they need to be 95% certain that their estimate of the mean is within a margin of error of 2 ounces assuming the population standard deviation is equal to 12 ounces?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![**Problem 5: Estimating Sample Size for Investigating Birth Weights**
A hospital aims to conduct a study to investigate the mean birth weight of children born at their facility. The question posed is: What sample size is necessary to ensure a 95% confidence level that the estimate of the mean is within a margin of error of 2 ounces? This calculation assumes the population standard deviation is 12 ounces.
To solve this, we use the formula for determining sample size \( n \) in estimating a population mean:
\[
n = \left( \frac{Z \times \sigma}{E} \right)^2
\]
Where:
- \( Z \) is the Z-score associated with the desired confidence level (1.96 for 95% confidence),
- \( \sigma \) is the population standard deviation (12 ounces),
- \( E \) is the desired margin of error (2 ounces).
By substituting the values into the formula, we can calculate the required sample size for this study.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7cbefba3-038d-4844-a492-3897b8513d87%2F0100543f-aee7-4a89-a6a9-dbaebb620345%2F4btc5ei.jpeg&w=3840&q=75)
Transcribed Image Text:**Problem 5: Estimating Sample Size for Investigating Birth Weights**
A hospital aims to conduct a study to investigate the mean birth weight of children born at their facility. The question posed is: What sample size is necessary to ensure a 95% confidence level that the estimate of the mean is within a margin of error of 2 ounces? This calculation assumes the population standard deviation is 12 ounces.
To solve this, we use the formula for determining sample size \( n \) in estimating a population mean:
\[
n = \left( \frac{Z \times \sigma}{E} \right)^2
\]
Where:
- \( Z \) is the Z-score associated with the desired confidence level (1.96 for 95% confidence),
- \( \sigma \) is the population standard deviation (12 ounces),
- \( E \) is the desired margin of error (2 ounces).
By substituting the values into the formula, we can calculate the required sample size for this study.
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