A bakery would like you to recommend how many loaves of its famous marble rye bread to bake at the beginning of the day. Each loaf costs the bakery $2.00 and can be sold for $7.00. Leftover loaves at the end of each day are donated to charity. Research has shown that the probabilities for demands of 25, 50, and 75 loaves are 30%, 20%, and 50%, respectively. Make a recommendation for the bakery to bake 25, 50, or 75 loaves each morning. Find the expected monetary value when baking 25 loaves. EMV=S (Type an integer or a decimal.) D Find the expected monetary value when baking 50 loaves. EMV=$(Type an integer or a decimal.) Find the expected monetary value when baking 75 loaves. EMV=$(Type an integer or a decimal.) Make a recommendation for the bakery to bake 25, 50, or 75 loaves each morning. The bakery should bake loaves of bread every morning. 25 50 75
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- Cameron sells premium steak at the local market. He has a lot of customers due to the promising taste and texture of his steak. One kilogram of his premium steak costs $80.50. However, it would only cost $68.50 per kilogram if a customer buys 3 kilograms and $58.50 per kilogram if a customer buys 5 kilograms. Cameron can supply 100 kilograms of premium steak in a day, but his supply only lasts for an hour and a half. Which of the following statements is true? With this pricing scheme, Cameron is extracting all the consumer surplus. Cameron is basing his pricing scheme on the maximum amount a customer is willing to pay for his premium steak. Cameron is using third degree price discrimination by charging different prices for different "blocks" of kilograms for his premium steak. Cameron receives a larger revenue and profts with this pricing scheme compared to charging a single lower price for larger quantities. None of the above are true.A computer reseller needs to decide how many laptops to order next month. The lowest end laptop costs $220 and the retailer can sell these for $300. However, the laptop manufacturer already announced that they are coming out with a new model in a couple of months. Any laptops that will not be sold by the end of next month will have to be heavily discounted at half-price. The reseller also needs to consider that every time he fails to fulfill a laptop order, he stands to lose $25 for every unit. Based on the past months’ sales, the reseller estimates the demand probabilities for sales (S) as follows: P(0 units) = 0.3; P(1 units) = 0.4; P(2 units) = 0.2; P(3 units) =0.1. The reseller thinks it’s a good idea to conduct a survey on whether or not his customers are going to buy laptops and how many. The survey results will either be Yes (Y), No (N) or Don’t Know (DK). The probability estimates of the results based on the demand for number of units are: P(Y|S = 0 units) = 0.1 P(Y|S = 1…A computer reseller needs to decide how many laptops to order next month. The lowest end laptop costs $220 and the retailer can sell these for $300. However, the laptop manufacturer already announced that they are coming out with a new model in a couple of months. Any laptops that will not be sold by the end of next month will have to be heavily discounted at half-price. The reseller also needs to consider that every time he fails to fulfill a laptop order, he stands to lose $25 for every unit. Based on the past months’ sales, the reseller estimates the demand probabilities for sales (S) as follows: P(0 units) = 0.3; P(1 units) = 0.4; P(2 units) = 0.2; P(3 units) =0.1. The reseller thinks it’s a good idea to conduct a survey on whether or not his customers are going to buy laptops and how many. The survey results will either be Yes (Y), No (N) or Don’t Know (DK). The probability estimates of the results based on the demand for number of units are: P(Y|S = 0 units) = 0.1 P(Y|S = 1…
- A computer reseller needs to decide how many laptops to order next month. The lowest end laptop costs $220 and the retailer can sell these for $300. However, the laptop manufacturer already announced that they are coming out with a new model in a couple of months. Any laptops that will not be sold by the end of next month will have to be heavily discounted at half-price. The reseller also needs to consider that every time he fails to fulfill a laptop order, he stands to lose $25 for every unit. Based on the past months’ sales, the reseller estimates the demand probabilities for sales (S) as follows: P(0 units) = 0.3; P(1 units) = 0.4; P(2 units) = 0.2; P(3 units) =0.1. The reseller thinks it’s a good idea to conduct a survey on whether or not his customers are going to buy laptops and how many. The survey results will either be Yes (Y), No (N), or Don’t Know (DK). The probability estimates of the results based on the demand for the number of units are: P(Y|S = 0 units) = 0.1…How would you find the probabilities for this question? (see attachment)Show that a decision maker who has a linear utilityfunction will rank two lotteries according to their expectedvalue.
- Answer correctly with in 50minutesA risk-neutral firm produces chemical products, and its objective is to maximize expected profit. There is a risk that there will be an accident during the production process, and dangerous chemical products will be released into the ocean, polluting the water. To reduce the risk of an accident, the firm can choose Low or High investment in safety. Low Investment in Safety_ Cost for firm= $0 Probability of an Accident = 80% Probability of No Accident =20% High Investment in Safety Cost for firm= $150 Probability of an Accident = 20% Probability of No Accident = 80% The Government wants to reduce the risk of an accident, but the Government cannot observe the fir m's investment in safety. Therefore there is a moral hazard problem. However, the Government can observe whether an accident occurred or not. So the government decides to create a fine (penalty): if an accident occurs, the firm must pay a fine F to the Government. If an accident does not occurs, then the firm does not have to…You are considering two options for your next family vacation. You can visit Disney World or Chicago. Your utility from Disney World is 100 if the weather is clear, and 0 if it rains. Chicago is worth a utility of 70 if the weather is clear and a utility of 40 if the weather is rainy. Also assume that the chance of rain at Disney World is going to be 50% and the chance of rain in Chicago is 40%. As a utility maximizer, should you plan to go to Disney World or Chicago? (Explain using relevant equations)
- Using the normal table or software, find the value of z that makes the following probabilities true. You might find it helpful to draw a picture to check your answers (a) P(Zz) =0.01 (e) P(Z|Economics Consider a supplier that manufactures a product at $2 per unit and sells them to retailers at $7 per unit. The retailer sells each product to the end consumer at $10. At this retail price, market demand is normally distributed, with a mean of 1,000 and a standard deviation of 300. The supplier agrees to buy back unsold products for $b even though any leftover product at the end of sale period are worthless. a) What is the retailer's order quantity under local optimization when b=0? b) What is the optimal order quantity under global optimization? Round up to the nearest integer. Derive the optimal value of b. c) With the optimized value of b in the buyback clause, how many discs should an independent retailer order? Round up your solution to the nearest integer. d) What is the expected overstocking given the optimized value of $b? What is the expected understocking given the optimized value of $b? What is retailers' expected profit? What is the manufacturer's expected profit?The next two questions are based on the following information: Sallie produces specialty T-shirts that are sold at special events. For an upcoming event, she can sell each T-shirt at $20 per shirt. However, when the event ends, any unsold T-shirts will be sold at a clearance price of $4 per shirt. It costs Sally $8 to make a T-shirt. Sally's estimate of the demand is the following. Demand Probability 300 0.05 400 0.1 500 0.4 600 0.3 700 0.1 800 0.05 Fill in the blank: The critical ratio is $SEE MORE QUESTIONS