MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- Two different simple random samples are drawn from two different populations. The first sample consists of 20 people with 10 having a common attribute. The second sample consists of 2200 people with 1597 of them having the same common attribute. Compare the results from a hypothesis test of p1= p2 (with a 0.01 significance level) and a 99% confidence interval estimate of p1− p2.arrow_forwardTwo different simple random samples are drawn from two different populations. The first sample consists of 40 people with 22 having a common attribute. The second sample consists of 1900 people with 1375 of them having the same common attribute.compare results from a hypothesis test of p1-=p2 with a 0.05 significance level and a 95% confidence interval estimate of p1-p2 .arrow_forwardTwo different simple random samples are drawn from two different populations. The first sample consists of 30 people with 16 having a common attribute. The second sample consists of 2000 people with 1409 of them having the same common attribute. Compare the results from a hypothesis test of p, = p2 (with a 0.01 significance level) and a 99% confidence interval estimate of p, -P2. O A. Ho: P1 SP2 H1: P1 #P2 O B. Ho: P1 *P2 H1: P1 = P2 OC. Ho: P1 = P2 H1: P, > P2 O D. Ho: P1 2 P2 H: P1 +P2 O E. Ho: P1 = P2 H:P1 #P2 OF. Ho: P1 =P2 H;: P1arrow_forwardTwo different simple random samples are drawn from two different populations. The first sample consists of 20 people with10 having a common attribute. The second sample consists of 1900 people with 1352 of them having the same common attribute. Compare the results from a hypothesis test of p1=p 2 (with a 0.01 significance level) and a 99% confidence interval estimate of p1−p2. What are the null and alternative hypotheses for the hypothesis test? A. Upper H 0H0: p 1p1equals=p 2p2 Upper H 1H1: p 1p1greater than>p 2p2 B. Upper H 0H0: p 1p1not equals≠p 2p2 Upper H 1H1: p 1p1equals=p 2p2 C. Upper H 0H0: p 1p1less than or equals≤p 2p2 Upper H 1H1: p 1p1not equals≠p 2p2 D. Upper H 0H0: p 1p1greater than or equals≥p 2p2 Upper H 1H1: p 1p1not equals≠p 2p2 E. Upper H 0H0: p 1p1equals=p 2p2 Upper H 1H1: p 1p1less than<p 2p2 F. Upper H 0H0: p 1p1equals=p 2p2 Upper H 1H1: p 1p1not equals≠p 2p2 Identify the…arrow_forwardThe dataset "nurses" is a random sample of 1,000 cases from “Health Care Provider Credential Data” from Washington State Open Data Portal. In the sample, there are 418 CNA's and 278 of the CNA's have expired credentials. Use the statistics from the nurses dataset to answer the following question: "With 90% confidence, what percent of all CNA's on Washington State's healthcare provider list are expired?"arrow_forwardAn October 2011 CBS News Poll on illegal immigrants interviewed 1012 randomly selected American adults. Of those in the sample, 688 said that they “oppose allowing the children of illegal immigrants to attend state college at the lower tuition rate of state residents.” Although the samples in national polls are not SRSs, they are similar enough that our method gives approximately correct confidence intervals. Find the 99% confidence interval for the proportion of adults who “oppose allowing the children of illegal immigrants to attend state college at the lower tuition rate of state residents.” Interpret the confidence interval in a clear sentence. Find the 95% confidence interval. Is the 95% confidence interval longer or shorter than the 99% confidence interval? Find the margin of error for each confidence interval. (Hint: you do have enough information from the calculator output! Margin of error = (width of interval)/2.) Margin of error for 99% confidence…arrow_forwardTwo different simple random samples are drawn from two different populations. The first sample consists of 20 people with 10 having a common attribute. The second sample consists of 2100 people with 1497 of them having the same common attribute. Compare the results from a hypothesis test of p 1p1equals=p 2p2 (with a 0.01 significance level) and a 99% confidence interval estimate of p 1p1minus−p 2p2.arrow_forwardSuppose that 90% confidence interval for the difference between two proportions, p1-p2, is ( 0.013, 0.245). If we were testing the following hypotheses: H0: p1=p2 versus H1: p1≠p2 at the .10 significance level we wouldarrow_forwardarrow_back_iosarrow_forward_ios
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