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vitfil [10]
3 years ago
12

Like a good economist, you calculated the opportunity cost of getting your college degree. Suppose that at your university, you

will pay $10,000 each year for tuition, $2,500 each year for textbooks, and $10,000 per year for room and board. Before you left for college, your boss at your high-school job offered you a job paying $20,000 per year. Assume that if you decided not to go to college, your parents would not let you live at home. What is your opportunity cost for four years of college?
Business
1 answer:
Georgia [21]3 years ago
3 0

Answer:

The opportunity cost is $130,000 for the four year duration.

Explanation:

Here, it is clear that I will not go to the job, so going to university is the only option left. Now, the loss of the job income is also an opportunity cost with an amount $20,000 which will aggregated with the University specific costs.

University Specific cost for 4 Years = 4 * (Tuition Cost + Textbooks + Job Opportunity loss)

The room and board cost is common between college and the university so it must not be considered for the decision making.

By putting values, we have:

University Specific cost for 4 Years = 4 * ($10,000 + $2,500 + $20,000)

University Specific cost for 4 Years = $130,000 for the four years

The opportunity cost is $130,000 for the four year duration.

For better understanding of relevant costing (Opportunity cost analysis), consider the following question:

brainly.com/question/14423321

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This is an example of anticipatory change in the market and working accordingly.

Explanation:

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SO he updates the prices every day and sends newspaper inserts advertising the new prices. This makes it better for him to deal with the inflation that is happening and fluctuating everyday.

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Closing prices of two stocks are recorded for 50 trading days. The sample standard deviation of stock X is 4.638 and the sample
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Answer:

a) The correlation coeffcient is given by:

r = \frac{Cov(X,Y)}{S_x S_y}

And replacing we got:

r = \frac{-36.111}{4.638 *9.084}= -0.857

b) For this case we can conclude that we have a strong, negative linear association between the two stock prices.

Explanation:

Part a

For this case we have the following info:

s_x = 4.638 represent the sample deviation for the variable X

s_y = 9.084 represent the sample deviation for the variable Y

Cov(X,Y)= -36.111 represent the covariance between the variables X and Y

The correlation coeffcient is given by:

r = \frac{Cov(X,Y)}{S_x S_y}

And replacing we got:

r = \frac{-36.111}{4.638 *9.084}= -0.857

Part b

Describe the relationship between prices of these two stocks.

For this case we can conclude that we have a strong, negative linear association between the two stock prices.

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