2) Use the given data to find the minimum sample size required to estimate the population proportion. (a) Margin of error: 0.04, confidence level: 95%, p = 0.64 (b) Margin of error: 0.006, confidence level: 95%, § and ĝ are unknown
2) Use the given data to find the minimum sample size required to estimate the population proportion. (a) Margin of error: 0.04, confidence level: 95%, p = 0.64 (b) Margin of error: 0.006, confidence level: 95%, § and ĝ are unknown
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![### MATH110 Problem Set 04
#### Problem 2
Use the given data to find the minimum sample size required to estimate the population proportion.
(a) **Parameters:**
- Margin of Error: 0.04
- Confidence Level: 95%
- Estimated Proportion (\(\hat{p}\)): 0.64
(b) **Parameters:**
- Margin of Error: 0.006
- Confidence Level: 95%
- Estimated Proportion (\(\hat{p}\)) and Complement (\(\hat{q}\)) are unknown
#### Problem 3
Use the given degree of confidence and sample data to construct a confidence interval for the population mean \(\mu\). Assume that the population has a normal distribution.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8aff57ec-1b12-428a-80b3-b0c65975d3d7%2F9362afcb-d54d-4e8f-b273-f034ed7a2cda%2F8r8md2f_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### MATH110 Problem Set 04
#### Problem 2
Use the given data to find the minimum sample size required to estimate the population proportion.
(a) **Parameters:**
- Margin of Error: 0.04
- Confidence Level: 95%
- Estimated Proportion (\(\hat{p}\)): 0.64
(b) **Parameters:**
- Margin of Error: 0.006
- Confidence Level: 95%
- Estimated Proportion (\(\hat{p}\)) and Complement (\(\hat{q}\)) are unknown
#### Problem 3
Use the given degree of confidence and sample data to construct a confidence interval for the population mean \(\mu\). Assume that the population has a normal distribution.
![**MATH110 Problem Set 04**
1) Construct a confidence interval for the population proportion \( p \).
- \( n = 144 \)
- \( x = 86 \)
- 90% confidence
**Explanation:**
This problem asks you to construct a confidence interval for the population proportion \( p \). Given:
- \( n = 144 \): the sample size.
- \( x = 86 \): the number of successes in the sample.
- A confidence level of 90%.
To solve this, you will calculate the sample proportion \( \hat{p} = \frac{x}{n} \) and use the standard error to construct the confidence interval. The formula for a confidence interval at a 90% confidence level is:
\[ \hat{p} \pm Z \times \sqrt{\frac{\hat{p}(1-\hat{p})}{n}} \]
where \( Z \) is the Z-score corresponding to the desired confidence level.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8aff57ec-1b12-428a-80b3-b0c65975d3d7%2F9362afcb-d54d-4e8f-b273-f034ed7a2cda%2F4nttvti_processed.png&w=3840&q=75)
Transcribed Image Text:**MATH110 Problem Set 04**
1) Construct a confidence interval for the population proportion \( p \).
- \( n = 144 \)
- \( x = 86 \)
- 90% confidence
**Explanation:**
This problem asks you to construct a confidence interval for the population proportion \( p \). Given:
- \( n = 144 \): the sample size.
- \( x = 86 \): the number of successes in the sample.
- A confidence level of 90%.
To solve this, you will calculate the sample proportion \( \hat{p} = \frac{x}{n} \) and use the standard error to construct the confidence interval. The formula for a confidence interval at a 90% confidence level is:
\[ \hat{p} \pm Z \times \sqrt{\frac{\hat{p}(1-\hat{p})}{n}} \]
where \( Z \) is the Z-score corresponding to the desired confidence level.
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