Given a choice between two investments with the same expected payoff: a. Most people will choose the one with the lower standard deviation b. Most people will opt for the one with the higher standard deviation c. Most people will be indifferent since the expected payoffs are the same d. Most people will calculate the variance to assess the relative risks of the two choices
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Given a choice between two investments with the same expected payoff:
a. Most people will choose the one with the lower standard deviation
b. Most people will opt for the one with the higher standard deviation
c. Most people will be indifferent since the expected payoffs are the same
d. Most people will calculate the variance to assess the relative risks of the two choices
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- a. A company produces lightbulbs whose life follows a normal distribution, with mean 1200 hours and standard deviation 250 hours. If we choose a lightbulb at random, what is the probability that its lifetime will be between 900 and 1300 hours? (answer in three decimal places)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 $7.00. Leftover loaves at the end of each day are donated to charity. Research has shown that the probabilities for demands of 25, 50, and 75 loaves are 30%, 20%, and 50%, respectively. Make a recommendation for the bakery to bake 25, 50, or 75 loaves each morning. Find the expected monetary value when baking 25 loaves. EMV=$(Type an integer or a decimal.) 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. O 25 50 75 EThe owner of Tastee Cookies needs to decide whether to lease a small, medium, or large new retail outlet. She estimates that monthly profits will vary with demand for her cookies as follows: SIZE OFOUTLET DEMAND LOW HIGH Small $ 1,000 1,000 Medium 500 2,500 Large 0 3,000 For what range of probability that demand will be high, will she decide to lease the medium facility?
- Suppose that a car - rental agency offers insurance for a week that costs $125. A minor fender bender will cost 34000 whereas a major accident might cost $16 comma 000 in repairs. Without the insurance, you would be personally liable for any damages. There are two decision alternatives: take the insurance, or do not take the insurance. You researched insurance industry statistics and found out that the probability of a major accident is 0.04% and that the probability of a fender bender is 0.18%. The expected payoff if you buy the insurance is $125.00. The expected payoff if you do not buy the insurance is $12.52. Develop a utility function for the payoffs associated with this decision for a risk-averse person. Determine the decision that would result using the utilities instead of the payoffs. Based on the expected payoffs, the best decision is to not purchase the insurance. Are these two decisions consistent?Managers of the restaurant, NicePizzeria@Nola, have to plan for the number of pizzas they want to make at the beginning of each day. Based on market research, the managers know the daily demand can only be one of the three levels: 30, 40 or 50 pizzas. Also, the probabilities of getting a daily demand of 30, 40, 50 pizzas are 0.3, 0.4, 0.3 respectively. The managers decide that their tentative daily supply of pizza should also be one of the three levels: 30, 40 or 50 pizzas. Each pizza costs $3 to make and the price is $8 per pizza. Note: The profit for each pizza sold is $5. For the ones supplied but not sold, the profit is -$3. Fill in the following profit table (hint: use two-way table ) and use the profit table to answer the questions. Three demand levels 30 40 50 30 Three supply 40 levels 50 1) What is the maximin supply level? 2) What is the maximum expected profit (across three supply levels)?A new Bookstore web-site receives 12 hits each day. The probability that a hit results in a purchase is 0.4700 1. Hand Calculate the expected value, E(x); the variance, var(x), and the standard deviation, s(x). Go to 4 decimals Expected value = Variance = Standard deviation = HELPFUL FORMULAS for BINOMIAL Distribution : Expected Value = E(x) = µ = np Variance = o = npq = np(1-p) Standard Deviation =o = Vơ or SQRT Variance Using Table output below and your calculator to answer the following questions (#'s 2-8). Go to 4 decimals and show ALL work. f(x) cum f(x) 0.0005 0.0005 0.0052 0.0057 2 0.0255 0.0312 3 0.0754 0.1066 0.1504 0.2570 0.2134 0.4703 0.2208 0.6911 7 0.1678 0.8589 8. 0.0930 0.9519 0.0367 0.9886 10 0.0098 0.9983 11 0.0016 0.9999 12 0.0001 1.0000 You may hand write your answers. Take a photo of your work for Part I and submit along with photo of work for Part II onto Canvas. Please use the CamScanner app or similar app on your phone and convert your photo files to a PDF before…
- An author is trying to choose between two publishing companies that are competing for the marketing rights to her new novel. Company A has offered the author $10,000 plus $2 per book sold. Company B has offered the author $2,000 plus $4 per book sold. The author believes that four levels of demand for the book are possible are: 1,000, 2,000, 3000 and 5000 books are sold. If the probabilities of each level of demand are as follows: Demand Probability 1000 0.31 2000 0.32 3000 0.25 5000 0.12 Construct the payoff table for each level of demand for company X and company Y. What are the expected monetary value (EMV) and expected opportunity loss (EOL)? Hence determine the best decision that this author should do.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|Anticipated consumer demand in a restaurant for free-range steaks next month can be modeled by a normal random variable with mean 1,200 pounds and standard deviation 100 pounds. a. What is the probability that demand will be between 1,100 and 1,300 pounds? Calculate in 4 decimal place. b. The probability is 0.10 that demand will be more than how many pounds?SEE MORE QUESTIONS