Minnesota had the highest turnout rate of any state for the 2012 Presidential election (United States Election Project website, February 9, 2013). Political analysts wonder if turnout in rural Minnesota was higher than turnout in the urban areas of the state. A sample shows that 663 of 884 registered voters from rural Minnesota voted in the 2012 Presidential election, while 414 out of 575 registered voters from urban Minnesota voted.a. Formulate the null and alternative hypotheses that can be used to test whether registered voters in rural Minnesota were more likely than registered voters in urban Minnesota to vote in the 2012 Presidential election.- \( H_0: p_{\text{rural}} \) [Select] \( p_{\text{urban}} \)- \( H_a: p_{\text{rural}} \) [Select] \( p_{\text{urban}} \)b. What is the proportion of sampled registered voters in rural Minnesota that voted in the 2012 Presidential election (to 2 decimals)?[Input box]c. What is the proportion of sampled registered voters in urban Minnesota that voted in the 2012 Presidential election (to 2 decimals)?[Input box]d. At \( \alpha = 0.05 \), test the hypothesis. What is the p-value, and what conclusion do you draw from your results (to 4 decimals)? Use z-table.- p-value: [Select]- Conclusion: [Select]

Given : x1 = 663 n1 = 884 x2 = 414 n2 = 575

Answered: Minnesota had the highest turnout rate…

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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According to a recent report (based on historical data), 47% of college student internships are unpaid. A recent survey of 100 college interns at a local university found that 59 had unpaid internships. Follow the five-step p-value approach to hypothesis testing (see Chapter 9 Powerpoint slides #53 - 59 or e-text p. 339 - 340. Use a 0.10 level of significance to determine whether the proportion of college interns that had unpaid internships is different from 0.47. Part 1 Let π be the population proportion. Determine the null hypothesis, H0, and the alternative hypothesis, H1.(Type integers or decimals. Do not round.) A. H0 : μ = 0.47; H1 : μ ≠ 0.47 , because μ is always used in hypothesis testing B. H0 : π = 0.47; H1 : π ≠ 0.47, because the two hypotheses always use a known or likely to be true value for the population proportion C. H0 : π = 0.59; H1 : π ≠ 0.59, since we are trying to prove the sample proportion of 59100= 0.59 is really true D. H0 : π ≠…
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