Determining the Critical Value A random sample of 240 doctors revealed that 108 are satisfied with the current state of US health care. 108(1 - 108) 108 ±1.645, 240 The conditions for inference are met. Using z* = 1.645, which expression gives a 90% confidence interval for the true proportion of all US 0.5(1-0.5) 1.645 +108, 240 doctors who are satisfied with the current state of US health care? 0.45 (1-0.45) 0.45 ±1.645, 240 0.5(1- 0.5) 0.45 ±108, 1.645
Determining the Critical Value A random sample of 240 doctors revealed that 108 are satisfied with the current state of US health care. 108(1 - 108) 108 ±1.645, 240 The conditions for inference are met. Using z* = 1.645, which expression gives a 90% confidence interval for the true proportion of all US 0.5(1-0.5) 1.645 +108, 240 doctors who are satisfied with the current state of US health care? 0.45 (1-0.45) 0.45 ±1.645, 240 0.5(1- 0.5) 0.45 ±108, 1.645
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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A random sample of 240 doctors revealed that 108 are satisfied with the current state of US health care.
The conditions for inference are met.
Using z* = 1.645, which expression gives a 90% confidence interval for the true proportion of all US doctors who are satisfied with the current state of US health care?
![**Determining the Critical Value**
A random sample of 240 doctors revealed that 108 are satisfied with the current state of US health care.
The conditions for inference are met.
Using \( z^* = 1.645 \), which expression gives a 90% confidence interval for the true proportion of all US doctors who are satisfied with the current state of US health care?
1. \( 108 \pm 1.645 \sqrt{\frac{108(1-108)}{240}} \)
2. \( 1.645 \pm 108 \sqrt{\frac{0.5(1-0.5)}{240}} \)
3. \( 0.45 \pm 1.645 \sqrt{\frac{0.45(1-0.45)}{240}} \)
4. \( 0.45 \pm 108 \sqrt{\frac{0.5(1-0.5)}{1.645}} \)
**Explanation:**
- The task is to find the correct expression for calculating a 90% confidence interval.
- \( z^* = 1.645 \) is the critical value for a 90% confidence level.
- The sample proportion is calculated as \( \frac{108}{240} = 0.45 \).
- The expression should use this sample proportion in its calculation with the formula:
\[
\text{Sample Proportion} \pm z^* \sqrt{\frac{\text{Sample Proportion}(1-\text{Sample Proportion})}{\text{Sample Size}}}
\]
The correct expression that fits this format is:
- \( 0.45 \pm 1.645 \sqrt{\frac{0.45(1-0.45)}{240}} \)
This choice correctly uses the sample proportion of 0.45 and incorporates the critical value \( z^* \) correctly in the confidence interval formula.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7c6d136e-2074-4849-9b3d-0df6994baeb8%2F3abeb8b2-8003-42df-ac4a-33e8cdd4795e%2Fc7gekn_processed.png&w=3840&q=75)
Transcribed Image Text:**Determining the Critical Value**
A random sample of 240 doctors revealed that 108 are satisfied with the current state of US health care.
The conditions for inference are met.
Using \( z^* = 1.645 \), which expression gives a 90% confidence interval for the true proportion of all US doctors who are satisfied with the current state of US health care?
1. \( 108 \pm 1.645 \sqrt{\frac{108(1-108)}{240}} \)
2. \( 1.645 \pm 108 \sqrt{\frac{0.5(1-0.5)}{240}} \)
3. \( 0.45 \pm 1.645 \sqrt{\frac{0.45(1-0.45)}{240}} \)
4. \( 0.45 \pm 108 \sqrt{\frac{0.5(1-0.5)}{1.645}} \)
**Explanation:**
- The task is to find the correct expression for calculating a 90% confidence interval.
- \( z^* = 1.645 \) is the critical value for a 90% confidence level.
- The sample proportion is calculated as \( \frac{108}{240} = 0.45 \).
- The expression should use this sample proportion in its calculation with the formula:
\[
\text{Sample Proportion} \pm z^* \sqrt{\frac{\text{Sample Proportion}(1-\text{Sample Proportion})}{\text{Sample Size}}}
\]
The correct expression that fits this format is:
- \( 0.45 \pm 1.645 \sqrt{\frac{0.45(1-0.45)}{240}} \)
This choice correctly uses the sample proportion of 0.45 and incorporates the critical value \( z^* \) correctly in the confidence interval formula.
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