hand written plz Suppose you are testing the hypotheses Ho : p =0.24 vs. p 70.24 withsignificance level a0.29. As you know, one way to address two-sided tests is to create confidenceintervals.0.05. A sample size of 258 results in a sample proportion of%3DConstruct the appropriate confidence interval for p that could be used to addressthe test and report the upper limit of the confidence interval.Note:1- Only round your final answer to 2 decimal places. Enter your final answer with 2decimal places.2- Your final answer should be expressed as a decimal and not a percentage.Your Answer:Angue

Answered: Image /qna-images/answer/c2b94c77-5156-4e3b-8a89-40459b7d5bb8.jpg

Answered: Suppose you are testing the hypotheses…

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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An epidemiologist with the Florida Department of Health needs to estimate the proportion of Floridians who are infected with the corona virus but are asymptomatic (show no signs of the virus). The epidemiologist compiled a preliminary random sample of infected patients and found that 65% of the sample were also asymptomatic.How large a sample should be selected such that the margin of error of the estimate for a 96% confidence interval is at most 1.93%. Round the solution up to the nearest whole number.
The National Weight Control Registry tries to mine secrets of success from people who lost at least 30 pounds and kept it off for at least a year. It reports that out of 2,720 registrants, 439 were on a low-carbohydrate diet (less than 90 grams a day). a. Develop a 95% confidence interval for the proportion of people on a low-carbohydrate diet.b. Is it possible that the population percentage is 16%? c. How large a sample is needed to estimate the proportion within 0.55%?
A sociologist is interested in surveying workers in computer-related jobs to estimate the proportion of such workers who have changed jobs within the past year. a) In the absence of preliminary data, how large a sample must be taken to ensure that a 95% confidence interval will specify the proportion to within ±0.05? b) In a sample of 100 workers, 20 of them had changed jobs within the past year. Find a 95% confidence interval for the proportion of workers who have changed jobs within the past year. c) Based on the data in part (b), estimate the sample size needed so that the 95% confidence interval will specify the proportion to within ±0.05.
An epidemiologist with the Florida Department of Health needs to estimate the proportion of Floridians who are infected with the corona virus but are asymptomatic (show no signs of the virus). The epidemiologist compiled a preliminary random sample of infected patients and found that 67% of the sample were also asymptomatic. How large a sample should be selected such that the margin of error of the estimate for a 96% confidence interval is at most 4.91%. Round the solution up to the nearest whole number. N=
A 90 percent confidence interval is to be created to estimate the proportion of television viewers in a certain areawho favor moving the broadcast of the late weeknight news to an hour earlier than it is currently. Initially, theconfidence interval will be created using a simple random sample of 9,000 viewers in the area. Assuming that thesample proportion does not change, what would be the relationship between the width of the original confidenceinterval and the width of a second 90 percent confidence interval that is created based on a sample of only 1,000viewers in the area?(A) The second confidence interval would be 9 times as wide as the original confidence interval.(B) The second confidence interval would be 3 times as wide as the original confidence interval.(C) The width of the second confidence interval would be equal to the width of the original confidence interval.(D) The second confidence interval would be 1/3 as wide as the original confidence interval.(E) The second…
An epidemiologist with the Florida Department of Health needs to estimate the proportion of Floridians who are infected with the corona virus but are asymptomatic (show no signs of the virus). The epidemiologist compiled a preliminary random sample of infected patients and found that 77% of the sample were also asymptomatic . How large a sample should be selected such that the margin of error of the estimate for a 99% confidence interval is at most 4.39 %. Round the solution up to the nearest whole number .
Based on your confidence interval from the previous problem, can you conclude that the mean permeability coefficient at 60∘60∘C differs from that at 61∘61∘C at the 0.05 level of significance? A. Yes, because the 95% confidence interval includes 0 B. No, because the 95% confidence interval includes 0 C. Yes, because the 95% confidence interval does not include 0 D. No, because the 95% confidence interval does not include 0 E. It is impossible answer this question only using the 95% confidence interval.
A researcher wishes to estimate the proportion of adults who have high-speed Internet access. What sample size should be obtained if the researcher wishes to estimate within 0.03 with 99% confidence if He uses a 2007 estimate of 0.69 obtained from US Census Bureau? He does not use any prior estimate? Let the confidence level be 90%, and recalculate the needed sample size in both a) and b) above and comment on your conclusion.
Based on sample data, the 95% confidence interval for the population mean is about $150 to $250. If the α = 0.05 level of significance was used in testing Ho: µ = $260 versus H1: µ ≠ $260, the null hypothesis. Would the null hypothesis be rejected or not?
Suppose that you intend to find a 95% confidence interval for a population mean by applying the one-mean z-interval procedure to a sample of size 100. a. What would happen to the accuracy of the estimate if you used a sample of size 50 instead but kept the same confidence level of 0.95?b. What would happen to the accuracy of the estimate if you changed the confidence level to 0.90 but kept the same sample size of 100?
A survey at a certain university found that 21 out of a random sample of 350 students had over $6,000 in credit card debt with a 90% confidence level of 0.04 to 0.08 If we would like the margin of error to be within 0.01, how large should the sample size be? ( Use P=0.5 for a conservative estimate.)
Suppose that in a random sample of 450 employed Americans, there are 45 individuals who say that they would fire their boss if they could. Calculate a 90% confidence interval for the population proportion who would fire their boss if they could. (Round the answers to three decimal places.)______ to _____

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