Assume that you want to construct a 95% confidence interval estimate of a population mean. Find an estimate of the sample size needed to obtain the specified margin of error for the 95% confidence interval. The sample standard deviation is given. Margin of error, E = 8.3 grams; sample standard deviation, s = 62.1 grams The required sample size is (Round up to the nearest whole number.)
Assume that you want to construct a 95% confidence interval estimate of a population mean. Find an estimate of the sample size needed to obtain the specified margin of error for the 95% confidence interval. The sample standard deviation is given. Margin of error, E = 8.3 grams; sample standard deviation, s = 62.1 grams The required sample size is (Round up to the nearest whole number.)
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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![**Calculating Sample Size for a 95% Confidence Interval**
To accurately estimate a population mean with a 95% confidence interval, it is critical to determine the required sample size that allows for the specified margin of error.
**Given:**
- Margin of error, \( E = 8.3 \) grams
- Sample standard deviation, \( s = 62.1 \) grams
**Objective:**
Find the sample size needed to achieve this specified margin of error.
**Solution:**
The sample size formula for a confidence interval of the mean is:
\[ n = \left( \frac{Z \cdot s}{E} \right)^2 \]
Where:
- \( n \) is the desired sample size.
- \( Z \) is the Z-score corresponding to the 95% confidence level. For a 95% confidence level, \( Z \approx 1.96 \).
- \( s \) is the sample standard deviation.
- \( E \) is the margin of error.
**Calculation:**
Substitute the given values into the formula to find \( n \). After computing, remember to round up to the nearest whole number.
**Output:**
The required sample size is a rounded-up value based on the above calculation.
**Instruction:**
Make sure you perform this computation using appropriate tools or mathematical calculations to achieve the accurate sample size for precise data analysis in empirical research.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6a0d2a3b-664d-45bb-b3f8-65192198e0f3%2F06b94336-ca41-4e4b-b8ee-6b9782938e27%2Fcbp932_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Calculating Sample Size for a 95% Confidence Interval**
To accurately estimate a population mean with a 95% confidence interval, it is critical to determine the required sample size that allows for the specified margin of error.
**Given:**
- Margin of error, \( E = 8.3 \) grams
- Sample standard deviation, \( s = 62.1 \) grams
**Objective:**
Find the sample size needed to achieve this specified margin of error.
**Solution:**
The sample size formula for a confidence interval of the mean is:
\[ n = \left( \frac{Z \cdot s}{E} \right)^2 \]
Where:
- \( n \) is the desired sample size.
- \( Z \) is the Z-score corresponding to the 95% confidence level. For a 95% confidence level, \( Z \approx 1.96 \).
- \( s \) is the sample standard deviation.
- \( E \) is the margin of error.
**Calculation:**
Substitute the given values into the formula to find \( n \). After computing, remember to round up to the nearest whole number.
**Output:**
The required sample size is a rounded-up value based on the above calculation.
**Instruction:**
Make sure you perform this computation using appropriate tools or mathematical calculations to achieve the accurate sample size for precise data analysis in empirical research.
Expert Solution

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The margin of error is 8.3 and the standard deviation is 62.1.
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