Two different simple random samples are drawn from two different populations. The first sample consists of 30 people with 14 having a common attribute. The second sample consists of 2000 peoplewith 1412 of them having the same common attribute. Compare the results from a hypothesis test of p₁ = P2 (with a 0.05 significance level) and a 95% confidence interval estimate of p₁ -P₂-*What are the null and alternative hypotheses for the hypothesis test?OA. Ho: P₁ P₂H₁: P₁ P2OD. Ho: P₁ P₂H₁: P₁ P₂Identify the test statistic.-2.85(Round to two decimal places as needed.)Identify the critical value(s).an example Get more help.(Round to three decimal places as needed. Use a comma to separate answers as needed.)3ED80F3C$4RQFA-FV%5↓F5TG6OB. Ho: P₁ P₂H₁: P₁P₂BE. Ho: P₁ P2H₁: P₁ P₂MacBook Air&FoYH&A7N*F7UJ*8MDIIFB-(9KO<F9I-OLOC. Ho: P₁ P₂H₁: P₁ P₂OF. Ho: P₁ SP₂H₁: P₁ P₂command4F10P^.>I...Clear alloption4F11{[?+ 11=111Check answer(21)Question ViewerF12}]delete

Given that,The two different populations and two different simple random samples are given.For the…

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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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Researchers from a national research organization investigated which platform (television, social media, newspaper, Internet, etc.) United States adults prefer to use to obtain their news. In 2016, of the 200 randomly selected United States adults that were surveyed, 114 selected television as their preferred platform. In 2018, of the 200 randomly selected United States adults that were surveyed, 98 selected television as their preferred platform. The conditions for inference are met. A 95 percent confidence interval for the difference in the population proportions of United States adults that use television as their preferred platform for obtaining news between 2016 and 2018 (2016 minus 2018) was found to be (-0.02, 0.18). Based on the interval, is it reasonable for the researchers to claim that there is convincing statistical evidence that the population proportion of United States adults that use television as their preferred method to obtain news differed between 2016 and 2018? (A)…
Nina would like to estimate the difference in the mean amount of time students spend on math homework at her public school versus her cousin Sharon’s private school. To do so, each girl selects a random sample of 30 students from their large schools and asks the selected students how much time they spent doing math homework the previous night. Nina and Sharon would like to construct a 90% confidence interval for the true difference in the population means. Are the conditions for inference met? Yes, all three conditions for inference are met. No, the random condition is not met for both samples. No, the 10% condition is not met for both samples. No, the Normal/large sample condition is not met for both samples.
The Martin County Health Department needs to estimate the proportion of all children in the county aged 19-35 months that are completely up to date with all state-recommended immunizations. The Martin County Health Department found that 88% of a random sample of children in the county aged 19-35 months were completely up to date with all state-recommended immunizations. Find three different confidence intervals - one with sample size 228, one with sample size 402, and one with sample size 658. Assume that 88% of the children each sample are completely up to date with all state recommended immunizations. Observe how the sample size affects the margin of error and subsequently the width of each interval. Report confidence interval solutions using interval notation. Report all solutions in percent form, rounded to two decimal places, if necessary. • When n = 228, the margin of error for a 95% confidence interval is given by When n = • When n = When n = 228, a 95% confidence interval is…
Independent random samples are taken at a university to compare the average GPA of seniors to the average GPA of sophomores. Given a 90% confidence interval for the difference between the true average GPAs (seniors - sophomores) of (-0.05, 0.78), what can you conclude? Question 8 options: 1) There is no significant difference between the true average GPA for seniors and sophomores. 2) We do not have enough information to make a conclusion. 3) We are 90% confident that the average GPA of seniors is less than the average GPA of sophomores. 4) We are 90% confident that the average GPA of seniors is greater than the average GPA of sophomores. 5) We are 90% confident that the difference between the two sample GPAs falls within the interval.
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.
Two different simple random samples are drawn from two different populations. The first sample consists of 20 people with 9 having a common attribute. The second sample consists of 2200 people with 1581 of them having the same common attribute. Compare the results from a hypothesis test of p 1 equalsp 2 (with a 0.05 significance level) and a 95% confidence interval estimate of p 1minusp 2. A. Identify the test statistic. (Round to two decimal places as needed.) B. Identify the critical value(s). (Round to three decimal places as needed. Use a comma to separate answers as needed.) C. The 99% confidence interval is less than left parenthesis p 1 minus p 2 right parenthesis less than (Round to three decimal places as needed.)
Two 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 .
Two 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;: P1
An 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…
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 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.
Suppose 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 would

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