Suppose an insurance company wishes to determine if the amount of time a patient spends in the hospital is affected by whether or not the patient has medical insurance. The insurance company suspects that since insurance pays most of the hospital bills, a doctor might keep a person who has insurance in the hospital longer than if that person had to pay all of the expenses because he/she did not have insurance. In order to test these suspicions, the company randomly samples the average stay (in days) of both insured and uninsured patients in a number of hospitals and comes up with the following data. Assume the patient data are normally distributed and the population standard deviations are equal. (sorry this is the best example I can give for the problem) the numbers are actually supposed to be on the lower right side (like a square root I guess) Insurance: xbar 1=17.3, s1 =1.2, n1=29 No Insurance: xbar 2=15.1, s2=2.1, n2=15 Does the data provide sufficient evidence to support the insurance company’s claim? Answer this question by performing a hypothesis test with α=.05 and calculating a 95% confidence interval for the true mean difference.
Suppose an insurance company wishes to determine if the amount of time a patient spends in the hospital is affected by whether or not the patient has medical insurance. The insurance company suspects that since insurance pays most of the hospital bills, a doctor might keep a person who has insurance in the hospital longer than if that person had to pay all of the expenses because he/she did not have insurance. In order to test these suspicions, the company randomly samples the average stay (in days) of both insured and uninsured patients in a number of hospitals and comes up with the following data. Assume the patient data are normally distributed and the population standard deviations are equal. (sorry this is the best example I can give for the problem) the numbers are actually supposed to be on the lower right side (like a square root I guess) Insurance: xbar 1=17.3, s1 =1.2, n1=29 No Insurance: xbar 2=15.1, s2=2.1, n2=15 Does the data provide sufficient evidence to support the insurance company’s claim? Answer this question by performing a hypothesis test with α=.05 and calculating a 95% confidence interval for the true mean difference.
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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- Suppose an insurance company wishes to determine if the amount of time a patient spends in the hospital is affected by whether or not the patient has medical insurance. The insurance company suspects that since insurance pays most of the hospital bills, a doctor might keep a person who has insurance in the hospital longer than if that person had to pay all of the expenses because he/she did not have insurance. In order to test these suspicions, the company randomly samples the average stay (in days) of both insured and uninsured patients in a number of hospitals and comes up with the following data. Assume the patient data are
normally distributed and the population standard deviations are equal.
(sorry this is the best example I can give for the problem) the numbers are actually supposed to be on the lower right side (like a square root I guess)
Insurance: xbar 1=17.3, s1 =1.2, n1=29
No Insurance: xbar 2=15.1, s2=2.1, n2=15
Does the data provide sufficient evidence to support the insurance company’s claim? Answer this question by performing a hypothesis test with α=.05 and calculating a 95% confidence interval for the true mean difference.
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