A midwestern university offers its employees three choices for health care: a clinic-based health maintenance organization (HMO), a preferred provider organzation(PPO), and a traditional fee-for-service program (FFS). Each year, the university designates an open enrolment period during which employees may change from onehealth plan to another. Prior to the last open enrollment period, 25% of employees were enrolled in the HMO, 20% in the PPO, and the remainder in the FFS. Duringthe open enrolment period, 15% of employees in the HMO switched to the PPO and 5% switched to the FFS, 25% of the employees in the PPO switched fo the HMOand 10% to the FFS, and 30% of the employees in the FFS switched to the HMO and 35% switched to the PPO. Complete parts (A) through (C) below.(A) Write the transition matrix.HMOPPOFFSHMO752005PPO2565.10353530(Type integers or decimals.)FFS

The defined matrix, that essentially explains the probability of transitioning from a considered…

Answered: A midwestern university offers its…

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 New York Times/CBS poll, 76% agreed that it should be the government's responsibility to provide a decent standard of living for the elderly, and 35% agreed that it would be a good idea to invest part of their Social Security taxes on their own. What is the smallest percentage of people who could have agreed with both statements?
Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment (U.S. Airways Attache, December 2003). Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was = $844, and the sample standard deviation was sd = $1,166. C) What is the point estimate of the difference between the population means? $ What is the 95% confidence interval estimate of the difference between the population means (to the nearest whole number)? ( need amount, need amount)
A social worker in South Phoenix delivered an intervention on financial literacy. The program is six weeks long (one hour per week). She collected pre and post- test surveys in order to determine if participants’ knowledge on financial literacy increased due their involvement in the program. Review the table below and answer the following questions. Table 1. Financial literacy intervention change from pre to post test M SD t p Financial Literacy Knowledge 5.04 .001 Pre test 7.25 1.78 Post test 8.42 1.20 1. Was a dependent or independent t-test used to analyze the data? How do you know?
AMS communicates with customers who subscribe to cable television services through a special secured email system that sends messages about service changes, new features, and billing information to in-home digital set-top boxes for later display. To enhance customer service, the operations department established the business objective of reducing the amount of time to fully update each subscriber’s set of messages. The department selected two candidate messaging systems and conducted an experiment in which 30 andomly chosen cable subscribers were assigned one of the two systems (15 assigned to each system). Update times were measured, and the results are organized in Table AMS10.1. Email Interface1 4.13 3.75 3.93 3.74 3.36 3.85 3.26 3.73 4.06 3.33 3.96 3.57 3.13 3.68 3.63 Email Interface 2 3.71 3.89 4.22 4.57 4.24 3.90 4.09 4.05 4.07 3.80 4.36 4.38 3.49 3.57 4.74 1. Analyze the data in Table AMS10.1 and do a statistical test with hypothesis. Kindly discuss the reason you selected a…
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You are a financial analyst for a brokerage firm. Is there a difference in dividend yield between stocks listed on the NYSE & NASDAQ? You collect the following data: NYSE NASDAQ Number 20 24 Sample mean 3.5 2.5 Sample std dev 1.30 1.16
Chapter 5 In preparation for your discussion post, complete the following: • Research data on the U.S. uninsured population (https://aspe.hhs.gov/sites/default/files/private/pdf/265041/trends-in-the-us- uninsured.pdf B). • Choose one condition for your discussion post about an uninsured group. (For example, In 2019, 22% of Latine individuals under age 65 were uninsured, Figure 4 p.6). For your discussion board post include all of the following: 1. Suppose six individuals, within your criteria, are randomly selected. Show or explain your thinking for each problem. (Note: This is a binomial probability from Section 5.2, they either have insurance or they do not.) A. Let having insurance be a success. State the values of your p, q, and n for your chosen condition. Explain your thinking. (For my example, if 22% do not have insurance, then that is my q (failure) value, my p=0.78, q=0.22, n-6 (6 individuals are randomly selected in this problem). B. Use excel or a T184 to determine the…
Recent revenue shortfalls in a southern state led to a reduction in the state budget for higher education. To offset the reduction, the largest state university proposed a 20%20% tuition increase. It was determined that such a large increase was needed to simply compensate for lost support from the state. Random samples of 100 freshmen, 100 sophomores, 100 juniors, and 100 seniors from the university were asked whether they were strongly opposed to the increase, given that it was the minimum increase necessary to maintain the university’s budget at current levels. The results are given in the table. Strongly opposed Freshman Sophomore Junior Senior Yes 78 72 58 36 No 22 28 42 64 What is the contribution to the chi‑square statistic from the cell of strongly opposed juniors? = 0.1551 =3 =9 =0.1475
This C The weight of an organ in adult males has a bell-shaped distribution with a mean of 310 grams and a standard deviation of 40 grams. Use the empirical rule to determine the folowing (a) About 99.7% of organs will be between what weights? (b) What percentage of organs weighs between 230 grams and 390 grams? (c) What percentage of organs weighs less than 230 grams or more than 390 grams? (d) What percentage of organs weighs between 270 grams and 430 grams? (a) and grams (Use ascending order.) (b)% (Type an integer or a decimal.) (c) % (Type an integer or a decimal.) (d) % (Type an integer or decimal rounded to two decimal places as needed.) Enter your answer in each of the answer boxes. e Type here to search 近
The Boston public school district has had difficulty maintaining on-time bus service for its students ("A Year Later, School Buses Still Late," Boston Globe, October 5, 2011). Suppose the district develops a new bus schedule to help combat chronic lateness on a particularly woeful route. Historically, the bus service on the route has been, on average, 12 minutes late. After the schedule adjustment, the first 36 runs were an average of 8 minutes late. As a result, the Boston public school district claimed that the schedule adjustment was an improvement-students were not as late. Assume a population standard deviation for bus arrival time of 12 minutes. Develop the null and alternative hypotheses to determine whether the schedule adjustment reduced the average lateness time of 12 minutes. H:µ=8 and H:µ#8 H:µ²12 and H:µ8 and H¸:X <8 A
A hospital wants to estimate the percentage of admitted patients who receive Medicare benefits. If we want to estimate that percentage based on examination of randomly selected patient payment records, how many patient records must be examined in order to be 90% confident that we are within four percentage points of the population percentage?
In determining the best companies to work for, a number of variables are considered, including size, average annual pay, and employee turnover rate. Moreover, employee surveys are conducted to assess aspects of the organization's culture, such as trust and openness to change. In an attempt to determine what affects turnover rate, a sample of 33 companies was randomly selected, and data were collected on the average annual bonus and turnover rate (%) for 2008. In addition, a questionnaire was administered to the employees of each company to arrive at a trust index (measured on a scale of 0-100). Below are the multiple regression results. Predictor Coef SE Coef T P R-square Constant 12.1005 0.7826 15.46 0.000 79.6% Trust Index -0.07149 0.01966 -3.64 0.001 Average Bonus -0.0007216 0.0001481 -4,87 0.000 The correct null hypotheses for testing the regression coefficient of Trust Index (TI) is βTI ≠ 0…

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