marginal revenue equals marginal cost to maximize total revenue
In: Economics
Describe revenue management and explain tools used by revenue managers.
In: Accounting
The following graph shows the daily demand curve for bippitybops in Detroit.
Use the green rectangle (triangle symbols) to compute total revenue at various prices along the demand curve.
Note: You will not be graded on any changes made to this graph.

On the following graph, use the green point (triangle symbol) to plot the annual total revenue when the market price is $30, $45, $60, $75, $90, $105, and $120 per bippitybop.

According to the midpoint method, the price elasticity of demand between points A and B is approximately (0,0.54,1.86,14) .
Suppose the price of bippitybops is currently $45 per bippitybop, shown as point B on the initial graph. Because the price elasticity of demand between points A and B is ( elastic, inelastic, unit elastic) , a $15-per-bippitybop increase in price will lead to (a decrease, an increase, no change) in total revenue per day.
In general, in order for a price decrease to cause a decrease in total revenue, demand must be (elastic,inelastic,unit elastic) .
In: Economics
The difference between economic and accounting profit is:
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the implicit costs of the resources provided by the owners |
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they are the same |
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economic profit does not account for opportunity costs |
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accounting profit is more accurate |
The role of profits in a market economy is to:
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enrich the capilitist |
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enrich the laborers |
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allocate resources |
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redistribute the wealth |
If the economic profits of a firm are above normal they are also:
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the return allowed by the Fed. |
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lesser than the maximum allowed in the industry |
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in excess of the risk-adjusted normal rate of return |
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in line with expectations |
The first derivative of Total Revenue is:
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Average revenue |
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there is not enough information to answer this question |
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Marginal Cost |
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Marginal Revenue |
"In the long run, all costs are:"
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fixed |
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accounted for |
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variable |
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not relevant |
Total Revenue is maximized where
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Marginal revenue is zero |
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marginal revenue is also maximized |
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marginal costs are minimized |
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average costs are maximized |
Profits are maximized when:
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average revenue and total revenue are zero |
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marginal revenue is also maximized |
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marginal revenue equals marginal costs |
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marginal costs are minimized |
A change in the price of a good will cause a change in that good's:
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demand |
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supply |
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quantity demanded |
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demand curve |
In: Economics
Felicity owns land valued at $2 million. She has located a buyer for her property. Felicity wants to buy an office building for $2.2 million. The owner of the office building has accepted her purchase offer. Felicity proposed to close the sale of her property and the purchase of the office on the same day. She will contribute cash to make up the difference between the sales and purchase prices. The transaction will be at the same title company in the same hour. The buyer’s cash will be wired to the title company and immediately used to buy the office. Does Felicity need to hire a qualified intermediary, and whether you say yes or no, why?
In: Accounting
Proteins
In: Biology
A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and number of rooms occupied.
| Day | Revenue | Occupied | Day | Revenue | Occupied | ||||||||
| 1 | $ | 1,452 | 40 | 14 | $ | 1,425 | 31 | ||||||
| 2 | 1,361 | 20 | 15 | 1,445 | 51 | ||||||||
| 3 | 1,426 | 21 | 16 | 1,439 | 62 | ||||||||
| 4 | 1,470 | 54 | 17 | 1,348 | 45 | ||||||||
| 5 | 1,456 | 62 | 18 | 1,450 | 41 | ||||||||
| 6 | 1,430 | 29 | 19 | 1,431 | 62 | ||||||||
| 7 | 1,354 | 22 | 20 | 1,446 | 47 | ||||||||
| 8 | 1,442 | 21 | 21 | 1,485 | 43 | ||||||||
| 9 | 1,394 | 15 | 22 | 1,405 | 38 | ||||||||
| 10 | 1,459 | 65 | 23 | 1,461 | 36 | ||||||||
| 11 | 1,399 | 41 | 24 | 1,490 | 61 | ||||||||
| 12 | 1,458 | 35 | 25 | 1,426 | 65 | ||||||||
| 13 | 1,537 | 51 | |||||||||||
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Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.) c-1. State the decision rule for 0.025 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.) c-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.) c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.02 significance level. What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied? (Round your answer to 1 decimal place.) |
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In: Statistics and Probability
Describe the connection between map distances and recombination rates between three X-linked genes.
In: Biology
Suppose that the annual market demand for Bleebs is given by Q=3750-75P The average and marginal costs of producing Bleebs are $10/bleeb.
A) If the firm acts as a single-price monopoly, what are the monopoly quantity, price, and profit?
B) Suppose that there are three hundred identical customers in this market. What is the best two-part tariff that the monopolist can use? If the monopolist implements the two-part tariff, how much profit will it make?
C) It turns out that the monopolist was wrong about the makeup of the customers. At any price, 1/3 of the customers buy twice as much as the other two thirds. If the monopolist implements the two-part tariff in part b, how much profit will it make?
In: Economics
Is there a difference between the means of the total of rooms per hotel in Crete and Southern Aegean Islands? Answer your question by calculating an appropriate, symmetric, 95% confidence interval using a Z statistic and equal standard deviations in the two populations. Explain your findings.
REGION ID
1= Crete
2=Southern Aegean Islands
3=Ionian Islands
| Total_Rooms | Region_ID |
| 412 | 1 |
| 313 | 1 |
| 265 | 1 |
| 204 | 1 |
| 172 | 1 |
| 133 | 1 |
| 127 | 1 |
| 322 | 1 |
| 241 | 1 |
| 172 | 1 |
| 121 | 1 |
| 70 | 1 |
| 65 | 1 |
| 93 | 1 |
| 75 | 1 |
| 69 | 1 |
| 66 | 1 |
| 54 | 1 |
| 68 | 1 |
| 57 | 1 |
| 38 | 1 |
| 27 | 1 |
| 47 | 1 |
| 32 | 1 |
| 27 | 1 |
| 48 | 1 |
| 39 | 1 |
| 35 | 1 |
| 23 | 1 |
| 25 | 1 |
| 10 | 1 |
| 18 | 1 |
| 17 | 1 |
| 29 | 1 |
| 21 | 1 |
| 23 | 1 |
| 15 | 1 |
| 8 | 1 |
| 20 | 1 |
| 11 | 1 |
| 15 | 1 |
| 18 | 1 |
| 23 | 1 |
| 10 | 1 |
| 26 | 1 |
| 306 | 2 |
| 240 | 2 |
| 330 | 2 |
| 139 | 2 |
| 353 | 2 |
| 324 | 2 |
| 276 | 2 |
| 221 | 2 |
| 200 | 2 |
| 117 | 2 |
| 170 | 2 |
| 122 | 2 |
| 57 | 2 |
| 62 | 2 |
| 98 | 2 |
| 75 | 2 |
| 62 | 2 |
| 50 | 2 |
| 27 | 2 |
| 44 | 2 |
| 33 | 2 |
| 25 | 2 |
| 42 | 2 |
| 30 | 2 |
| 44 | 2 |
| 10 | 2 |
| 18 | 2 |
| 18 | 2 |
| 73 | 2 |
| 21 | 2 |
| 22 | 2 |
| 25 | 2 |
| 25 | 2 |
| 31 | 2 |
| 16 | 2 |
| 15 | 2 |
| 12 | 2 |
| 11 | 2 |
| 16 | 2 |
| 22 | 2 |
| 12 | 2 |
| 34 | 2 |
| 37 | 2 |
| 25 | 2 |
| 10 | 2 |
| 270 | 3 |
| 261 | 3 |
| 219 | 3 |
| 280 | 3 |
| 378 | 3 |
| 181 | 3 |
| 166 | 3 |
| 119 | 3 |
| 174 | 3 |
| 124 | 3 |
| 112 | 3 |
| 227 | 3 |
| 161 | 3 |
| 216 | 3 |
| 102 | 3 |
| 96 | 3 |
| 97 | 3 |
| 56 | 3 |
| 72 | 3 |
| 62 | 3 |
| 78 | 3 |
| 74 | 3 |
| 33 | 3 |
| 30 | 3 |
| 39 | 3 |
| 32 | 3 |
| 25 | 3 |
| 41 | 3 |
| 24 | 3 |
| 49 | 3 |
| 43 | 3 |
| 9 | 3 |
| 20 | 3 |
| 32 | 3 |
| 14 | 3 |
| 14 | 3 |
| 13 | 3 |
| 13 | 3 |
| 53 | 3 |
| 11 | 3 |
| 16 | 3 |
| 21 | 3 |
| 21 | 3 |
| 46 | 3 |
| 21 | 3 |
In: Statistics and Probability