Suppose in its 2017 annual report that mcdonald’s corporation reports beginning total assets of $23.20 billion, ending total assets of $16.80 billion, net sales of $24.20 billion, and net income of $4.25 billion. (a) compute mcdonald’s return on assets. (round return on assets to 2 decimal places, e. g. 5.12%.)
(a) compute mcdonald’s return on assets. (round return on assets to 2 decimal places, e. g. 5.12%.)
mcdonald’s return on assets
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(b) compute mcdonald’s asset turnover. (round asset turnover to 2 decimal places, e. g. 5.12.)
mcdonald’s asset turnover
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times

What is the most direct result of free trade supplying productive resources to areas where they're most needed? a. enhanced efficiency b. lower interest rates c. increasing specialization d. greater competition 2b2t

Consider how health insurance affects the quantity of health care services performed. suppose that the typical medical procedure has a cost of $160, yet a person with health insurance pays only $40 out of pocket. her insurance company pays the remaining $120. (the insurance company recoups the $120 through premiums, but the premium a person pays does not depend on how many procedures that person chooses to undergo.) consider the following demand curve in the market for medical care. use the black point (plus symbol) to indicate the quantity of procedures demanded if each procedure has a price of $160. then use the grey point (star symbol) to indicate the quantity of procedures demanded if each procedure has a price of $40. q d at p=$160 q d at p=$40 0 10 20 30 40 50 60 70 80 90 100 200 180 160 140 120 100 80 60 40 20 0 price of medical procedures quantity of medical procedures demand if the cost of each procedure to society is truly $160, the quantity that maximizes total surplus is procedures. economists often blame the health insurance system for excessive use of medical care. given your analysis, the use of care might be viewed as excessive because consumers get procedures whose value is than the cost of producing them.

Using a cps-sample of 7,440 individuals, you estimate the following regression: = 20.91 - 2.61 x female where female is a binary variable that takes on the value of 1 for females and is 0 otherwise. the standard error on the coefficient on female is 0.25. the 95% confidence interval for the gender wage gap, or the amount that females earn less, is: a) [-3.10, -2.12] b) [18.30, 23.52] c) [-3.02, -2.20] d) [-1.96, -1.64]