Annual savings due to an energy efficiency project have a most likely value of $30,000. The high estimate of $40,000 has a probability of .25, and the low estimate of $20,000 has a probability of .35. (a) What is the expected value for the annual savings? (b) What types of tax incentives are available to firms for green projects?
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Annual savings due to an energy efficiency project have a most likely value of $30,000. The high estimate of $40,000 has a probability of .25, and the low estimate of $20,000 has a probability of .35. (a) What is the expected value for the annual savings? (b) What types of tax incentives are available to firms for green projects?
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- Annual savings due to an energy efficiency project have a most likely value of $30,000.The high estimate of $40,000 has a probability of 0.2, and the low estimate of $20,000has a probability of 0.30. What is the expected value for the annual savings?The shipping costs for fresh fruit items have been estimated and assigned the probabilities shown below. The expected value of the shipping costs is closest to: (a) $36.33 (b) $39.21 (c) $41.28 (d) $45.11 Shipping Cost, $ 34 38 55 Probability 0.22 0.31 0.47The owner of a ski resort is considering installing a new ski lift that will cost $900,000. Expenses for operating andmaintaining the lift are estimated to be $1,500 per day when operating. The U.S. Weather Service estimates thatthere is a 60% probability of 80 days of skiing weather per year, a 30% probability of 100 days per year, and a 10% probability of 120 days per year. The operators of the resort estimate that during the first 80 days of adequate snow in a season, an average of 500 people will use the lift each day, at a fee of $10 each. If 20 additional days are available, the lift will be used by only 400 people per day during the extra period; and if 20 more days of skiing are available, only 300 people per day will use the lift during those days. The owners wish to recover any invested capital within five years and want at least a 25% per year rate of return before taxes. Based on a before-tax analysis, should the lift be installed?
- The probability distribution of the daily number of customers at the YumYum is given below. Daily number of customers Probability 20 0.2 40 0.3 60 0.4 80 0.1 What is the probability that on a given day the YumYum has less than 70 customers? Group of answer choices 0.1 0.8 0.9 0.5 thanks for help2.4 The opening 2018 World Cup odds against being the winning team specified by espn.com were 9/2 for Germany, 5/1 for Brazil, 11/2 for France, 20/1 for England, and 7/1 for Spain. Find the corresponding prior probabilities of winning for these five teams.A new product’s sales and profits are uncertain. The marketing department has predicted that sales might be as high as 9000 units per year with a probability of 15%. The most likely value is 6000 units annually. The pessimistic value is estimated to be 3500 units annually with a probability of 25%. Manufacturing and marketing together have estimated the most likely unit profit to be $33. The pessimistic value of $26 has a probability of 0.25, and the optimistic value of $37 has a probability of 0.3. Construct the probability distributions for sales and unit profits.
- Players would draw a card from a standard 52 card deck. Whatever card they drew determined what they won. If they draw a face card (Jack, King, Queen) then they win $5. If they draw an Ace, they win $15. For all other cards, they win nothing. A. Fill out the probability distribution table with the probabilities of each possible outcome for this game. Round decimals to four places. x $15 $5 $0 P(x) B. What is the expected value of the distribution above? (Round to the nearest cent, two decimal places.) C. If players were charged $2 per game, would they make and average profit on the games over time, or would they take an average loss over time? D. If players were charged $3 per game, would they make and average profit on the games over time, or would they take an average loss over time?Exercise 15:- Each unit of a product produced and sold earns a profit of Rs. 50 and unsold units result into a loss of Rs. 30. The probability distribution is given below :Units Demanded : 0 1 2. 3.Probability : 0.2. 0.2. 0.25. 0.3Calculate EPPI and EVPI.Question 2An investor is to purchase one of three types of real estate, as illustrated inFigure below. The investor must decide among an apartment building, anoffice building, and a warehouse. The future states of nature that willdetermine how much profit the investor will make are good economicconditions and poor economic conditions. The profits that will result fromeach decision in the event of each state of nature are shown in Table below: Assume that it is now possible to estimate a probability of 0.60 that goodeconomic conditions will exist and a probability of .40 that poor economicconditions will exist. a) Determine the best decision by using expected opportunity loss. b) Develop a decision tree, with expected values at the probability nodes. c) Compute the expected value of perfect information.
- I am in possession of two coins. One is fair so that it lands heads (H) and tails (T)with equal probability while the other coin is weighted so that it always lands H. Bothcoins are magical: if either is flipped and lands H then a $1 bill appears in your wallet,but when it lands T nothing happens. You may only flip a coin once per period. Theinterest rate is i per period. You are risk-neutral and thus only concern yourself withexpected values (and not variance). For simplicity, in the questions below assumeyou will live forever.1. How much are you willing to pay for such a coin that you know is fair? 2. How much are you willing to pay for such a coin that you know is weighted? 3. I currently own the coins and know which is fair and which is weighted, but youcannot tell which is which. You may make an offer to purchase a coin of yourchoosing, which I am free to accept or reject. What is the most you are willingto offer? Explain how you arrived at this answer.The Kwik Klean car wash loses $250 on rainy days and gains $1200 on non rainy days. If the probability of rain is 0.13, what is the expected net profit?A manufacturing firm is considering a project which has an economic service life of one year with no salvage value. The initial cost for the project is $2,500. There is a 0.18 probability that the year-end revenue is $2,280. There is a 0.62 probability that the year-end revenue is $3,910. There is a 0.2 probability that the year-end revenue is $4,730. If the firm's MARR is 14%, what is the variance of the project?