Can you answer both parts to this question please I am so confused. Thank you :) The following is the abstract from the paper, "The Impact of Health Insurance on Preventive Care and HealthBehaviors: Evidence from the First Two Years of the ACA Medicaid Expansions," by Simon, Soni, Cawley (2017).The U.S. population receives suboptimal levels of preventive care and has a high prevalence of risky healthbehaviors. One goal of the Affordable Care Act (ACA) was to increase preventive care and improve healthbehaviors by expanding access to health insurance. This paper estimates how the ACA-facilitated state-levelexpansions of Medicaid in 2014 affected these outcomes. Using data from the Behavioral Risk FactorSurveillance System, and a difference-in-differences model that compares states that did and did not expandMedicaid, we examine the impact of the expansions on preventive care (e.g., dental visits, immunizations,mammograms, cancer screenings), risky health behaviors (e.g., smoking, heavy drinking, lack of exercise,obesity), and self-assessed health. We find that the expansions increased insurance coverage and access tocare among the targeted population of low-income childless adults. The expansions also increased use ofcertain forms of preventive care, but there is no evidence that they increased ex ante moral hazard (i.e., there isno evidence that risky health behaviors increased in response to health insurance coverage). The Medicaidexpansions also modestly improved self-assessed health.From reading this abstract you can conclude that:OThere is evidence of adverse selection in this market.There might be an "upside" to moral hazard.Moral hazard is always inefficient and will lead to social loss.This is evidence of ex-post moral hazard. The following is the abstract from the paper, "The Impact of Health Insurance on Preventive Care and HealthBehaviors: Evidence from the First Two Years of the ACA Medicaid Expansions," by Simon, Soni, Cawley (2017).The U.S. population receives suboptimal levels of preventive care and has a high prevalence of risky healthbehaviors. One goal of the Affordable Care Act (ACA) was to increase preventive care and improve healthbehaviors by expanding access to health insurance. This paper estimates how the ACA-facilitated state-levelexpansions of Medicaid in 2014 affected these outcomes. Using data from the Behavioral Risk FactorSurveillance System, and a difference-in-differences model that compares states that did and did not expandMedicaid, we examine the impact of the expansions on preventive care (e.g., dental visits, immunizations,mammograms, cancer screenings), risky health behaviors (e.g., smoking, heavy drinking, lack of exercise,obesity), and self-assessed health. We find that the expansions increased insurance coverage and access tocare among the targeted population of low-income childless adults. The expansions also increased use ofcertain forms of preventive care, but there is no evidence that they increased ex ante moral hazard (i.e., there isno evidence that risky health behaviors increased in response to health insurance coverage). The Medicaidexpansions also modestly improved self-assessed health.This paperOuses natural experiment techniques to identify causal effects of Medicaid on health care use and behaviors.does not use either natural or randomized experiments. The findings are correlational only.uses a randomized experiment techniques to identify causal effects of Medicaid on health care use andbehaviors.

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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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....................... You may need to use the appropriate appendix table or technology to answer this question. Health insurers are beginning to offer telemedicine services online that replace the common office visit. A company provides a video service that allows subscribers to connect with a physician online and receive prescribed treatments. The company claims that users of its online service saved a significant amount of money on a typical visit. The data shown below ($), for a sample of 20 online doctor visits, are consistent with the savings per visit reported by the company. 102 44 50 115 93 65 66 59 50 86 58 106 103 84 83 88 103 110 63 92 Assuming the population is roughly symmetric, construct a 95% confidence interval for the mean savings in dollars for a televisit to the doctor as opposed to an office visit. (Round your answers to the nearest cent.) $ to $
"The US Centers for Disease Control and Prevention said about 72 million Americans-nearly one out of every four of the country's 304 million residents-are considered obese. Millions more are designated as overweight." The American trend toward obesity has prompted many physicians to offer weight-loss programs to their patients. [Source: Price, w. T. "Physicians Get into the Weight-Loss Business." Florida Today, July 7, 2008.] A physician conducted an experimental study to compare the effectiveness of four different weight-loss programs. In the study, 60 obese adults were randomly assigned to the four programs so that each program had 15 adults. The programs lasted for six months. The weights of the subjects were measured before and after the programs, and each subject's weight loss was computed in pounds. The following table summarizes the results of the study, giving the number of observations and the sample mean and variance of the subjects' weight loss in each program. Treatment…
“The US Centers for Disease Control and Prevention said about 72 million Americans—nearly one out of every four of the country’s 304 million residents—are considered obese. Millions more are designated as overweight.” The American trend toward obesity has prompted many physicians to offer weight-loss programs to their patients. [Source: Price, W. T. “Physicians Get into the Weight-Loss Business.” Florida Today, July 7, 2008.] A physician conducted an experimental study to compare the effectiveness of four different weight-loss programs. In the study, 64 obese adults were randomly assigned to the four programs so that each program had 16 adults. The programs lasted for six months. The weights of the subjects were measured before and after the programs, and each subject’s weight loss was computed in pounds. The following table summarizes the results of the study, giving the number of observations and the sample mean and variance of the subjects’ weight loss in each program.…
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<12 and H:µ212 H, :µ=8 and Hu#8 A H, :µ212 and H:µ<12 H:X 28 and H: X <8
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. At the 5% significance level, does the evidence support the Boston public school district's claim? No, since the p-value is less than alpha O No, since the value of the test statistic is greater than the critical value Yes, since the p-value is less than alpha Yes, since the value of the test statistic is greater than the critical value
2
According to the IRS, individuals filing federal income tax returns prior to March 31 received an average refund of $1056 in 2018. Consider the population of “last-minute” filers who mail their tax return during the last five days of the income tax period (typically April 10 to April 15). A researcher suggests that a reason individuals wait until the last five days is that on average these individuals receive lower refunds than do early filers. For a sample of 400 individuals who filed a tax return between April 10 and 15, the sample mean refund was $910. Based on prior experience, a population standard deviation of σ = $1,600 may be assumed. Test the researcher's assertion using the critical value approach. Use α = 0.05 (Please include all the 7 steps in hypothesis testing) Steps in hypothesis testing p-value Approach Develop the null and alternative hypothesis Specify the level of significance, α Choose the test statistic (z or t) Calculate the test statistic Use the value of the…
The report “Undergraduate Students and Credit Cards in 2004: An Analysis of Usage Rates and Trends” (Nellie Mae, May 2005) estimated that 21% of undergraduates with credit cards pay them off each month and that the average outstanding balance on undergraduates’ credit cards is $2169. These estimates were based on an online survey that was sent to 1260 students. Responses were received from 132 of these students. Is it reasonable to generalize the reported estimates to the population of all undergraduate students? Address two possible sources of bias, and name the bias in your answer.
Individuals filing federal income tax returns prior to March 31 received an average refund of $1056. Consider the population of “last-minute” filers who mail their tax return during the last five days of the income tax period (typically April 10 to April 15). A researcher suggest that a reason individuals wait until the last five days is that on average these individuals receive lower refunds than do early filers. Develop appropriate hypotheses such that rejection of will support the researcher’s contention. For a sample of 400 individuals who file a tax return between April 10 and April 15, the sample mean refund was $910. Based on prior experience a population standard deviation of o=1600 may be assumed. What is the p-value? At a=.05 , What is your conclusion?
In August 2010, Massachusetts enacted a 150-day right-to-cure period that mandates that lenders give homeowners who fall behind on their mortgage an extra five months to become current before beginning foreclosure proceedings. Policymakers claimed that the policy would result in a higher proportion of delinquent borrowers becoming current on their mortgages. To test this claim, researchers took a sample of 244 homeowners in danger of foreclosure in the time period surrounding the enactment of this law. Of the 100 who fell behind just before the law was enacted, 30 were able to avoid foreclosure, and of 144 who fell behind just after the law was enacted, 48 were able to avoid foreclosure. Let p1 and p2 represent the proportion of delinquent borrowers who avoid foreclosure just before and just after the right-to-cure law is enacted, respectively. Which of the following is the correct competing hypotheses that will test the policymakers' claim?
In August 2010, Massachusetts enacted a 150-day right-to-cure period that mandates that lenders give homeowners who fall behind on their mortgage an extra five months to become current before beginning foreclosure proceedings. Policymakers claimed that the policy would result in a higher proportion of delinquent borrowers becoming current on their mortgages. To test this claim, researchers took a sample of 244 homeowners in danger of foreclosure in the time period surrounding the enactment of this law. Of the 100 who fell behind just before the law was enacted, 30 were able to avoid foreclosure, and of 144 who fell behind just after the law was enacted, 48 were able to avoid foreclosure. Let p1 and p2 represent the proportion of delinquent borrowers who avoid foreclosure just before and just after the right-to-cure law is enacted, respectively. Which of the following is the appropriate test statistic value to analyze the claim at the 10% significance level? A)t243= −0.549 B)t243=…
In August 2010, Massachusetts enacted a 150-day right-to-cure period that mandates that lenders give homeowners who fall behind on their mortgage an extra five months to become current before beginning foreclosure proceedings. Policymakers claimed that the policy would result in a higher proportion of delinquent borrowers becoming current on their mortgages. To test this claim, researchers took a sample of 244 homeowners in danger of foreclosure in the time period surrounding the enactment of this law. Of the 100 who fell behind just before the law was enacted, 30 were able to avoid foreclosure, and of 144 who fell behind just after the law was enacted, 48 were able to avoid foreclosure. Let p1 and p2 represent the proportion of delinquent borrowers who avoid foreclosure just before and just after the right-to-cure law is enacted, respectively. Assuming α = 0.10, does the evidence support the policymakers’ claim?

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