Statistics for Management and Economics (Book Only)
11th Edition
ISBN: 9781337296946
Author: Gerald Keller
Publisher: Cengage Learning
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Chapter 11.1, Problem 1E
To determine
Frame the hypothesis.
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State whether you made a Type I error, a Type II error, or the correct conclusion.
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Here is a selection from an abstract of a recent study entitled “The effect of health insurance coverage on the use of medical services” by Michael Anderson, Carlos Dobkin, and Tal Gross (2010). NBER Working paper No. 15823. Substantial uncertainty exists regarding the causal effect of health insurance on the utilization of care. Most studies cannot determine whether the large differences in healthcare utilization between the insured and the uninsured are due to insurance status or to other unobserved differences between the two groups. In this paper, we exploit a sharp change in insurance coverage rates that results from young adults “aging out” of their parents insurance plans to estimate the effect of insurance coverage on the utilization of emergency department (ED) and inpatient services. [In the US, children are eligible for insurance coverage through their parents’ insurance only up to their 23rd birthday, at which point they lose eligibility.] Using the National Health…
Chapter 11 Solutions
Statistics for Management and Economics (Book Only)
Ch. 11.1 - Prob. 1ECh. 11.1 - Prob. 2ECh. 11.1 - Prob. 3ECh. 11.1 - Prob. 4ECh. 11.1 - Prob. 5ECh. 11.1 - Prob. 6ECh. 11.2 - Prob. 7ECh. 11.2 - Prob. 8ECh. 11.2 - Prob. 9ECh. 11.2 - Prob. 10E
Ch. 11.2 - Prob. 11ECh. 11.2 - Prob. 12ECh. 11.2 - Prob. 13ECh. 11.2 - Prob. 14ECh. 11.2 - Prob. 15ECh. 11.2 - Prob. 16ECh. 11.2 - Prob. 17ECh. 11.2 - Prob. 18ECh. 11.2 - Prob. 19ECh. 11.2 - Prob. 20ECh. 11.2 - Prob. 21ECh. 11.2 - Prob. 22ECh. 11.2 - Prob. 23ECh. 11.2 - Prob. 24ECh. 11.2 - Prob. 25ECh. 11.2 - Prob. 26ECh. 11.2 - Prob. 27ECh. 11.2 - Prob. 28ECh. 11.2 - Prob. 29ECh. 11.2 - Prob. 30ECh. 11.2 - Prob. 31ECh. 11.2 - Prob. 32ECh. 11.2 - Prob. 33ECh. 11.2 - Prob. 34ECh. 11.2 - Prob. 35ECh. 11.2 - Prob. 36ECh. 11.2 - Prob. 37ECh. 11.2 - Prob. 38ECh. 11.2 - Prob. 39ECh. 11.2 - Prob. 40ECh. 11.2 - Prob. 41ECh. 11.2 - Prob. 42ECh. 11.2 - Prob. 43ECh. 11.2 - Prob. 44ECh. 11.2 - Prob. 45ECh. 11.2 - Prob. 46ECh. 11.2 - Prob. 47ECh. 11.2 - Prob. 48ECh. 11.2 - Prob. 49ECh. 11.2 - Prob. 50ECh. 11.2 - Prob. 51ECh. 11.2 - Prob. 52ECh. 11.2 - Prob. 53ECh. 11.2 - Prob. 54ECh. 11.2 - Prob. 55ECh. 11.2 - Prob. 56ECh. 11.2 - Prob. 57ECh. 11.2 - Prob. 58ECh. 11.2 - Prob. 59ECh. 11.3 - Prob. 60ECh. 11.3 - Prob. 61ECh. 11.3 - Prob. 62ECh. 11.3 - Prob. 63ECh. 11.3 - Prob. 64ECh. 11.3 - Prob. 65ECh. 11.3 - Prob. 66ECh. 11.3 - Prob. 67ECh. 11.3 - Prob. 68ECh. 11.3 - Prob. 69ECh. 11.3 - Prob. 70ECh. 11.3 - Prob. 71ECh. 11.3 - Prob. 72ECh. 11.3 - Prob. 73ECh. 11.3 - Prob. 74ECh. 11.3 - Prob. 75ECh. 11.3 - Prob. 76ECh. 11.3 - Prob. 77ECh. 11.3 - Prob. 78ECh. 11.3 - Prob. 79E
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- Indicate whether the statement is true or false, and justify your answer. In the Grossman model, optimal health status declines with age.arrow_forwardConsider Scenario A from the previous question. State whether you made a Type I error, a Type II error, or the correct conclusion. Children in your community have on average less than 5.2 books at home, and you reject the hypothesis that they have greater than or equal to 5.2 books. Children in your community have on average less than 5.2 books at home, and you fail to reject the hypothesis that they have greater than or equal to 5.2 books. Children in your community have on average greater than or equal to 5.2 books at home, and you reject the hypothesis that they have greater than or equal to 5.2 books.arrow_forwardIndicate whether the statement is true or false, and justify your answer.Evidence indicates that exponential discounting functions are very rare in humans.arrow_forward
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- How is the null hypothesis for a correlation different than a null hypothesis for a t-test?arrow_forward1. True or False (Justify your answer briefly) (a) Potential outcomes are never observed. (b) Let Y0i and Y1i be the two potential outcomes from a binary treatment. The causal effect of the treatment on the outcome for observation i is Y1i − Y0i. (c) If we assume the individual treatment effect τi = Y1i − Y0i is the same across i, then τi can be estimated. (d) Random assignment is the same as random sampling. (e) Sampling bias is the same as selection bias. (f) If treatment is randomly assigned, then treatment is independent of the outcome.arrow_forwardIndicate whether the statement is true or false, and justify your answer.The RAND study was especially useful for measuring price elasticities because it randomly assigned insurance plans to participantsarrow_forward
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