A newspaper conducted a statewide survey concerning the 2008 race for state senator. Thenewspaper took an SRS of 1200 registered voters and found that 620 would vote for theRepublican candidate. Let p represent the proportion of registered voters in the state thatwould vote for the Republican candidate. A 90% confidence interval for p is(0.495, 0.539)(0.489, 0.545)a(0.493, 0.540)O d(0.503, 0.531)

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Answered: A newspaper conducted a statewide…

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 study was done to determine whether there is a relationship between snoring and the risk of heart disease. Among 1,105 snorers in the study, 89 had heart disease, while only 29 of 1,379 nonsnorers had heart disease. Determine a 95% confidence interval that estimates p1 − p2 = difference in proportions of snorers and nonsnorers who have heart disease. (Let p1 be the proportion of snorers and p2 be the proportion of nonsnorers. Round your answers to three decimal places.) ____to ____
A sample poll of 130 voters chosen at random from all voters in a given district indicated that 60 of them were in favor of a particular candidate. What is the 99% confidence limits for the proportion of all the voters in favor of this candidate? Select correct / closest choice. Select one: a. (0.3516, 0.5738) b. (0.3783, 0.5471) c. (0.3335, 0.5919) d. (0.3996, 0.5701) e. (0.3771, 0.5459)
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In a survey of 700 randomly selected union members, it is found that 332 favor the republican candidate for governor. Use this to contrust the 95% confidence interval for the true population proportion of all union members who favor the republician candidate.
A survey of 300 union members in New York State reveals that 112 favor the Republican candidatefor governor. Construct the 98% confidence interval for the true population proportion of all NewYork State union members who favor the Republican candidate.
A political candidate has asked his/her assistant to conduct a poll to determine the percentage of people in the community that supports him/her. If the candidate wants a 5% margin of error at a 95% confidence level, what size of sample is needed? Be sure to round accordingly.The candidate would need to survey people in the community in order to be within a 5% margin of error at a 95% confidence level.
Suppose the cholesterol levels of 6 patients before taking a medicine (the first number) and after taking a medicine (the second number) are (242,190),(216,192),(212,215),(216,222),(212,198),(219,190), then the 90% confidence interval for the difference between the two cholesterol levels is O a. (-139.20,175.90) O b. (-88.9409,125.60) O c. (7.51,29.15) O d. (0.52,36.15) O e. None of these
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A political candidate has asked you to conduct a poll to determine what percentage of people support her. If the candidate only wants a 2% margin of error at a 99% confidence level, what size of sample is needed? Hint: Textbook 2 Video 2 [+]
Ten engineering schools in a country were surveyed. The sample contained 225electrical engineers, 80 being women; 175 chemical engineers, 40 being women. Compute a 90% confidence interval for the difference between the proportions of women in these two fields of engineering. Is there a significant difference between the two proportions? Let p1 be the population proportion of electrical engineers that are women in the schools that were surveyed and let p2 be the population proportion of chemical engineers that are women in the schools that were surveyed. The 90% confidence interval is nothing<p1−p2<nothing. (Round to three decimal places as needed.)
A political candidate has asked his/her assistant to conduct a poll to determine the percentage of people in the community that supports him/her. If the candidate wants a 6% margin of error at a 95% confidence level, what size of sample is needed? Be sure to round accordingly. The candidate would need to survey people in the community in order to be within a 6% margin of error at a 95% confidence level.

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