A P4 PDCP a b B 323 d 324 325 32 326 327 328 329 330 331 d 332 333 33 What is the margin of error for this estimate? 334 a 0.032 335 b 0.038 0.044 0.052 с C 986 D E F G 336 с 337 d 338 339 34 What was the sample size used to obtain this estimate? 340 a 936 341 b 891 342 с 849 343 d 809 344 | H Suppose someone else reported a 95% interval estimate shown below: 0.580 0.644 What is the point estimate for this interval? 0.600 0.612 0.624 0.637 K
A P4 PDCP a b B 323 d 324 325 32 326 327 328 329 330 331 d 332 333 33 What is the margin of error for this estimate? 334 a 0.032 335 b 0.038 0.044 0.052 с C 986 D E F G 336 с 337 d 338 339 34 What was the sample size used to obtain this estimate? 340 a 936 341 b 891 342 с 849 343 d 809 344 | H Suppose someone else reported a 95% interval estimate shown below: 0.580 0.644 What is the point estimate for this interval? 0.600 0.612 0.624 0.637 K
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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
Transcribed Image Text:**Confidence Interval and Sample Size Analysis**
**95% Interval Estimate: 0.580 to 0.644**
1. **Point Estimate for the Interval:**
- Options:
- a. 0.600
- b. 0.612
- c. 0.624
- d. 0.637
2. **Margin of Error for the Estimate:**
- Options:
- a. 0.032
- b. 0.038
- c. 0.044
- d. 0.052
3. **Sample Size Used:**
- Options:
- a. 936
- b. 891
- c. 849
- d. 809
**Factors Influencing Confidence Intervals:**
The key factors involved in building a confidence interval include:
- Sample size (n)
- Level of confidence
- Margin of error
**Which Statements are True?**
- For a given confidence level, a sample 16 times as large will reduce the margin of error by half.
- For a given confidence level, a sample 16 times as large will reduce the margin of error to one-fourth.
- For a given confidence level, larger samples result in smaller margins of error.
**Answer Options:**
- a. Both a and b are true.
- b. Both b and c are true.

Transcribed Image Text:### Confidence Interval Estimation
**Questions 29-34 are related to the following scenario:**
You want to build an interval estimate for the proportion of adult Hoosiers who favor legalizing marijuana in Indiana. You survey a random sample of adult Hoosiers. The result of the survey is shown in a worksheet with tab "WEED."
----
**29. What is the margin of error for an interval with a 90% level of confidence?**
- a) 0.030
- b) 0.036
- c) 0.044
- d) 0.054
**30. The interval estimate with a 5% error probability is,**
- a) 0.515 to 0.667
- b) 0.532 to 0.650
- c) 0.505 to 0.637
- d) 0.556 to 0.626
**31. If you wanted to build a 95% interval estimate with a margin of error of ±3 percentage points, how many persons would you have to include in your sample? Use 0.60 for the planning value.**
- a) 1109
- b) 1066
- c) 1025
- d) 986
**32. Suppose someone also reported a 95% interval estimate shown below:**
0.580 to 0.644
What is the point estimate for this interval?
- a) 0.612
- b) 0.580
- c) 0.624
- d) 0.637
---
**Explanation of Concepts:**
- **Margin of Error:** The margin of error indicates the range within which the true population parameter is expected to fall. It is affected by the confidence level and the sample size. A 90% confidence level suggests that we can be 90% confident the actual proportion is within the calculated interval.
- **Interval Estimate:** This provides a range that is likely to contain the population parameter. The specific range can vary depending on the desired confidence level and the sample data.
- **Sample Size Calculation:** The sample size required for a specific margin of error can be determined using calculations that consider the proportion planning value, in this case, 0.60 for a 95% confidence level.
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