A researcher wishes to estimate, with 90% confidence, the population proportion of adults who think Congress is doing a good or excellent job. Her estimate must be accurate within 5% of the true proportion. (a) No preliminary estimate is available. Find the minimum sample size needed. (b) Find the minimum sample size needed, using a prior study that found that 40% of the respondents said they think Congress is doing a good or excellent job. (c) Compare the results from parts (a) and (b). ....... (a) What is the minimum sample size needed assuming that no prior information is available? n= 271 (Round up to the nearest whole number as needed.) (b) What is the minimum sample size needed using a prior study that found that 40% of the respondents said they think Congress is doing a good or excellent job? n= 260 (Round up to the nearest whole number as needed.) (c) How do the results from (a) and (b) compare? O A. Having an estimate of the population proportion has no effect on the minimum sample size needed. O B. Having an estimate of the population proportion raises the minimum sample size needed. O C. Having an estimate of the population proportion reduces the minimum sample size needed.
A researcher wishes to estimate, with 90% confidence, the population proportion of adults who think Congress is doing a good or excellent job. Her estimate must be accurate within 5% of the true proportion. (a) No preliminary estimate is available. Find the minimum sample size needed. (b) Find the minimum sample size needed, using a prior study that found that 40% of the respondents said they think Congress is doing a good or excellent job. (c) Compare the results from parts (a) and (b). ....... (a) What is the minimum sample size needed assuming that no prior information is available? n= 271 (Round up to the nearest whole number as needed.) (b) What is the minimum sample size needed using a prior study that found that 40% of the respondents said they think Congress is doing a good or excellent job? n= 260 (Round up to the nearest whole number as needed.) (c) How do the results from (a) and (b) compare? O A. Having an estimate of the population proportion has no effect on the minimum sample size needed. O B. Having an estimate of the population proportion raises the minimum sample size needed. O C. Having an estimate of the population proportion reduces the minimum sample size needed.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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![**Title: Estimating Population Proportion with Confidence**
A researcher aims to estimate, with 90% confidence, the population proportion of adults who believe Congress is doing a good or excellent job. The estimate must be accurate within 5% of the true proportion.
1. **No Preliminary Estimate Available**
- Find the minimum sample size required.
- Calculated Sample Size: \( n = 271 \) (Round up to the nearest whole number as needed.)
2. **Using a Prior Study Estimate**
- A prior study indicates that 40% of respondents think Congress is doing a good or excellent job.
- Calculated Sample Size: \( n = 260 \) (Round up to the nearest whole number as needed.)
3. **Comparison of Results**
- How do the results from the first and second estimates compare?
**Options:**
- A: Having an estimate of the population proportion has no effect on the minimum sample size needed.
- B: Having an estimate of the population proportion raises the minimum sample size needed.
- C: Having an estimate of the population proportion reduces the minimum sample size needed.
**Conclusion:**
- This exercise demonstrates how having prior knowledge about the population proportion can potentially reduce the sample size required for achieving a specified confidence level and margin of error in statistical estimates.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdabeff17-6e30-4e7b-b604-e664e91c4527%2F1b66a8fb-b7c2-4f95-b9d1-21e306c36de0%2F7yaftbd_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Title: Estimating Population Proportion with Confidence**
A researcher aims to estimate, with 90% confidence, the population proportion of adults who believe Congress is doing a good or excellent job. The estimate must be accurate within 5% of the true proportion.
1. **No Preliminary Estimate Available**
- Find the minimum sample size required.
- Calculated Sample Size: \( n = 271 \) (Round up to the nearest whole number as needed.)
2. **Using a Prior Study Estimate**
- A prior study indicates that 40% of respondents think Congress is doing a good or excellent job.
- Calculated Sample Size: \( n = 260 \) (Round up to the nearest whole number as needed.)
3. **Comparison of Results**
- How do the results from the first and second estimates compare?
**Options:**
- A: Having an estimate of the population proportion has no effect on the minimum sample size needed.
- B: Having an estimate of the population proportion raises the minimum sample size needed.
- C: Having an estimate of the population proportion reduces the minimum sample size needed.
**Conclusion:**
- This exercise demonstrates how having prior knowledge about the population proportion can potentially reduce the sample size required for achieving a specified confidence level and margin of error in statistical estimates.
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