MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- A certain health maintenance organization (HMO) wishes to study why patients leave the HMO. A SRS of 360 patients was taken. Data was collected on whether a patient had filed a complaint and, if so, whether the complaint was medical or nonmedical in nature. After a year, a tally from these patients was collected to count number who left the HMO voluntarily. Here are the data on the total number in each group and the number who voluntarily left the HMO: No complaint Medical complaint Nonmedical complaint Total 159 132 69 Left 60 34 26 If the null hypothesis is H0:p1=p2=p3 and using α=0.01, then do the following: (a) Find the expected number of people with no complaint who leave the HMO: (b) Find the expected number of people with a medical complaint who leave the HMO: (c) Find the expected number of people with a nonmedical complaint who leave the HMO: (d) Find the test statistic: (e) Find the degrees of freedom: (f) Find the critical value:arrow_forwardPlease answer Parts D and Earrow_forward53. Many countries, especially those in Europe, have significant gold holdings. But, many of these countries also have massive debts. The following data show the total value of gold holdings in billions of U.S. dollars and the debt as a percentage of the gross domestic prod- uct for nine countries (WordPress and Trading Economics websites, February 24, 2012). Gold Value Debt Country ($ billions) (% of GDP) China 63 17.7 DATA file France 146 81.7 Germany Indonesia Italy Netherlands 203 83.2 GoldHoldings 33 69.2 147 119.0 36 63.7 Russia 50 9.9 Switzerland 62 55.0 United States 487 93.2 Using the entire data set, develop the estimated regression equation that can be used to predict the debt of a country given the total value of its gold holdings. d. Use residual analysis to determine whether any outliers or influential observations are C. present. Suppose that after looking at the scatter diagram in part (a) that you were able to visually identify what appears to be an influential…arrow_forward
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