In a 2018 study, Phoenix Marketing International identified Bridgeport, Connecticut; San Jose, California; Washington, DC; and Lexington Park, Maryland, as the four U.S.cities with the highest percentage of millionaires (Kiplinger website). Consider a sample of data that show the following number of millionaires for samples of individuals fromeach of the four cities.CityBridgeport,San Jose,Washington,Lexington Park,MillionaireCTCAD.C.MDYes44373732No456263363368a. What is the estimate of the percentage of millionaires in each of these cities (to 1 decimal)?Bridgeport,San Jose,Washington,Lexington Park,CTCAD.C.MDPercentage, %b. Using a =0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities. What is the p-value?Compute the value of the x test statistic (to 3 decimals).Use Table 3 of Appendix B to find the p-value.The p-value is- Select your answer -What is your conclusion?- Select your answer - v that there is a difference among the population proportion of millionaires for these four cities.

Number of millionaires in 4 cities of Us are given. Total number of millionaires N = 44 + 37 + 37 +…

Answered: In a 2018 study, Phoenix Marketing…

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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The following table gives the wealth and percentage population in various regions of a fictitious country (named Ditto): Region Ashire Bshire Cshire West East South North Toptown Toptown Toptown Toptown Wealth 80 110 110 70 120 90 110 Рop % 19 17 8. 19 13 15 Q1.1 What are the mean and variance of the wealth for the whole country? Q1.2 What are the mean and variance of the wealth for those who live in Toptown? Q1.3 What is the probability of living in an area with the mean wealth > 100 if you live in Toptown? Q1.4 What is the probability that you live in Toptown given that you live in an area with mean wealth > 100? Q1.5 You are considering moving to Ditto but are unsure which town is best to live in i.e. which town has the highest wealth per citizen. Is the wealth in Ditto (our fictitious country) fairly distributed between towns? Create a scatter plot and inspect it i.e. inspect the relationship between the population and wealth of an area? What would you expect to see if it was not…
Foxbees magazine published data on the best small firms in 2012. These publicly traded firms have a stock price of at least $5 per share and have reported annual revenue between $5 million and $1 billion. The data below shows the ages of the corporate CEOS for a random sample of these firms. 49 67 59 48 45 49 39 44 37 38 48 38 43 48 62 74 70 58 58 40 74 35 36 54 38 45 54 55 64 75 69 36 55 72 69 60 40 64 39 59 74 52 40 49 38 38 74 50 55 50 R vector Copy to clipboard a) What is the mean of the sample? (Round to 4 decimal places) b) What is the standard deviation of the sample mean or the standard error? (Round to 4 decimal places) c) What is the sample size? (Round to whole number)
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In a 2018 study, Phoenix Marketing International identified Bridgeport, Connecticut; San Jose, California; Washington, DC) and Lexington Park, Maryland, as the four U.S. cities with the highest percentage of millionaires (Kiplinger website). Consider a sample of data that show the following number of millionaires for samples of individuals from each of the four- cities. Millionaire Yes No Bridgeport, CT Bridgeport, CT 46 San Jose, CA 36 264 Use Table 3 of Appendix B to find the p-value. The p-value is Select your answer - What is your conclusion? Select your answer - San Jose, Washington, CA D.C. 454 362 a. What is the estimate of the percentage of millionaires in each of these cities (to 1 decimal)? city Washington, D.C. D 38 Lexington Park, Lexington Park, MD MD 34 Percentage, % b. Using a = 0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities. What is the p-value? Compute the value of the x² test statistic (to 3…
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One of the theories behind the large polling errors in 2016 election was the "shy Trump voter". According to this explanation, many respondents voted differently than what they told the pollsters. What type of bias does this phenomena introduce to the polls? answer choices 1.Selection bias 2.Response bias 3.Non-response bias 4.Something else

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