want 95% confidence that your error is no more than 0.035. The sample should include men and women. (Type whole numbers.)
want 95% confidence that your error is no more than 0.035. The sample should include men and women. (Type whole numbers.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Use the expression in the accompanying discussion of
The sample should include
men and women.
(Type whole numbers.)
![**Sample Size Calculation for Estimating Difference in Population Proportions**
To estimate the difference between two population proportions with a margin of error \( E \) and a confidence level of \( 1 - \alpha \), use the following formula:
\[
E = z_{\alpha/2} \sqrt{\frac{p_1 q_1}{n_1} + \frac{p_2 q_2}{n_2}}
\]
Where:
- \( z_{\alpha/2} \) is the z-value corresponding to the desired confidence level.
- \( p_1 \) and \( p_2 \) are the estimated proportions for each population.
- \( q_1 = 1 - p_1 \) and \( q_2 = 1 - p_2 \).
- \( n_1 \) and \( n_2 \) are the sample sizes for each population.
To simplify calculations when the sample sizes are the same (\( n_1 = n_2 = n \)), and \( p_1 \), \( q_1 \), \( p_2 \), and \( q_2 \) are unknown, assume these proportions as 0.5 for maximum variability. This simplifies the expression for \( n \):
\[
n = \frac{z_{\alpha/2}^2}{2E^2}
\]
This formula helps determine the sample size required to achieve the desired accuracy in estimating the difference between two proportions.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F088c6bbf-0f7b-4fdc-adc9-13a5b0833a78%2F5bcec9c4-aee5-49ca-b61d-1247e333ce32%2Ftjd2q1_processed.png&w=3840&q=75)
Transcribed Image Text:**Sample Size Calculation for Estimating Difference in Population Proportions**
To estimate the difference between two population proportions with a margin of error \( E \) and a confidence level of \( 1 - \alpha \), use the following formula:
\[
E = z_{\alpha/2} \sqrt{\frac{p_1 q_1}{n_1} + \frac{p_2 q_2}{n_2}}
\]
Where:
- \( z_{\alpha/2} \) is the z-value corresponding to the desired confidence level.
- \( p_1 \) and \( p_2 \) are the estimated proportions for each population.
- \( q_1 = 1 - p_1 \) and \( q_2 = 1 - p_2 \).
- \( n_1 \) and \( n_2 \) are the sample sizes for each population.
To simplify calculations when the sample sizes are the same (\( n_1 = n_2 = n \)), and \( p_1 \), \( q_1 \), \( p_2 \), and \( q_2 \) are unknown, assume these proportions as 0.5 for maximum variability. This simplifies the expression for \( n \):
\[
n = \frac{z_{\alpha/2}^2}{2E^2}
\]
This formula helps determine the sample size required to achieve the desired accuracy in estimating the difference between two proportions.
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