Answer:
D) $1.00
Explanation:
Opportunity cost is the next best option forgone when one alternative is chosen over other alternatives.
If I buy a cappuccino, I have forgone the opportunity to buy Russian tea cakes. Therefore, my opportunity cost is the price of Russian tea cakes.
I hope my answer helps you.
Answer and Explanation:
The economics of scope refers to the total cost production cost i.e to be averaged for the various type of goods
While on the other hand, the economics of scale refers to the benefit of the cost than occurs when there is a higher production level at a time
Based on this, the classification is as follows
1, Economics of scale as the output rises that declines the LAC so automatically it goes downward
2. economics of scope
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Answer:
1) The government prohibits gas stations from selling gasoline for more than $3.40 per gallon.
This statement is an example of price ceiling as the gas stations cannot raise their price above $3.40 but can sell it at any price lower than the ceiling price of $3.40. This is binding
2) Due to new regulations, gas stations that would like to pay better wages in order to hire more workers are prohibited from doing so. This is neither a price ceiling or floor as government isn't directly affecting the price with their policy
3) The government has instituted a legal minimum price of $3.40 per gallon for gasoline. This is an example of price floor and is binding. The reason it is a price floor is because the petrol stations cannot charge a price below $3.40 but can charge any price above the floor price of $3.40
Explanation:
Answer:
- <em>As explained below, given that the score of the person is among the 0.03125 fraction of the best applicants, </em><u><em>he can count on getting one of the jobs.</em></u>
<em></em>
Explanation:
The hint is to use <em>Chebyshev’s Theorem.</em>
Chebyshev’s Theorem applies to any data set, even if it is not bell-shaped.
Chebyshev’s Theorem states that at least 1−1/k² of the data lie within k standard deviations of the mean.
For this sample you have:
- mean: 60
- standard deviation: 6
- score: 84
The number of standard deviations that 84 is from the mean is:
- k = (score - mean) / standar deviation
- k = (84 - 60) / 6 = 24 / 6 = 4
Thus, the score of the person is 4 standard deviations above the mean.
How good is that?
Chebyshev’s Theorem states that at least 1−1/k² of the data lie within k standard deviations of the mean. For k = 4, that is:
- 1 - 1/4² = 1 - 1/16 = 0.9375
- That means that half of 1 - 0.9375 are above k = 4: 0.03125
- Then, 1 - 0.03125 are below k = 4: 0.96875
Since there are 70 positions and 1,000 aplicants, 70/1,000 = 0.07. The compnay should select the best 0.07 of the applicants.
Given that the score of the person is among the 0.03125 upper fraction of the applicants, this person can count of geting one of the jobs.