There are N sites that need protection (number them 1 to N). Someone is going to pick one of them to attack, and you must pick one to protect. Suppose that the attacker is going to attack site i with probability q;. You plan on selecting a site to protect, with probability p¡ of selecting site i. If you select the same site to protect that the attacker chooses to attack, you successfully defend that site. The choice of {4i} and {p;} represent the attacker's and defender's strategy, respectively. 1) What is the probability that you successfully prevent the attack, given strategies {4;}, {p:}?? 2) If you knew {qı,...,qN} in advance, how should you choose {p;} to maximize the probability you successfully prevent an attack?
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- Phil, Stu, and Doug are deciding which fraternity to pledge. They all assign a payoff of 5 to pledging Phi Gamma and a payoff of 4 to Delta Chi. The payoff from not pledging either house is 1. Phi Gamma and Delta Chi each have two slots. If all three of them happen to choose the same house, then the house will randomly choose which two are admitted. In that case, each has probability 2/3 of getting in and probability 1/3 of not pledging any house. If they do not all choose the same house, then all are admitted to the house they chose. Find a symmetric Nash equilibrium in mixed strategies.To go from Location 1 to Location 2, you can either take a car or take transit. Your utility function is: U= -1Xminutes -5Xdollars +0.13Xcar (i.e. 0.13 is the car constant) Car= 15 minutes and $8 Transit= 40 minutes and $4 What is your probability of taking transit given the conditions above? What is your probability of taking transit if the number of buses on the route were doubled, meaning the headways are halved? Remember to include units.Suppose that you graduate from college next year and you have two career options: 1) You will start a job in an investment bank paying a $100,000 annual salary. 2) You will start a Ph.D. in economics and, as a student, you will receive a $20,000 salary. You are bad with decisions, so you are letting a friend of yours decide for you by flipping a coin. The probabilities of options 1 and 2 are, therefore, each 50%. a) Illustrate, using indifference curves, your preferences regarding consumption choices in the two different states of the world. Assume that you are risk-averse. [Include also the 45 degrees line in your figure] b) Now show how the indifference curves would change if you were substantially more risk averse than before. Explain. c) Now show the indifference curves if you are risk neutral and if you are risk loving. d) Show your expected utility preferences from point a) mathematically.
- The deciding shot in a soccer game comes down to a penalty shot. If the goal-keeper jumps in one corner and the player shots the ball in the other, then it is a goal. If the goalie jumps left and the player shoots left, then it is a goal with probability 1/3. If the goalie jumps right and the player shots right, it is goal with probability 2/3. If both players play Nash strategies, what is the expected value of goals that will follow from this penalty shot. 1/9 2/9 3/9 4/9 5/9 6/9 O7/9You're a contestant on a TV game show. In the final round of the game, if contestants answer a question correctly, they will increase their current winnings of $3 million to $4 million. If they are wrong, their prize is decreased to $2,250,000. You believe you have a 25% chance of answering the question correctly. Ignoring your current winnings, your expected payoff from playing the final round of the game show is. Given that this is ______________ (POSITIVE/NEGATIVE), you___________ (SHOULD/ SHOULD NOT) play the final round of the game. (Hint: Enter a negative sign if the expected payoff is negative.) The lowest probability of a correct guess that would make the guessing in the final round profitable (in expected value) is (Hint: At what probability does playing the final round yield an expected value of zero?)Suppose you are running a construction company and are in the process of signing a new contract with a lumber supplier. Getting lumber to a work site on time is critical and based on two things. First is the effort exerted by the lumber supplier and second how fast the shipper of the lumber will get the lumber to the construction site which involves some randomness. The lumber supplier can exert a high or low level of effort. If they exert a high level of effort they will produce the lumber quickly and there is then a 75% chance the shipper can get it to the construction site on time, and only a 25% chance that the shipper will be slow, and the lumber will arrive late. If the lumber supplier exerts a low level of effort, they will take a long time to produce the lumber and there is no chance that it will ship on time. If the lumber supplier exerts low effort it costs them zero dollars, but if high effort is exerted then it costs six thousand dollars in extra resources. The lumber…
- Professor can give a TA scholarship for a maximum of 2 years. At the beginning of each year professor Hahn decides whether he will give a scholarship to Gong Yi or not. Gong Yi can get a scholarship in t=2, only if he gets it in t=1. Basically, the professor and TA will play the following game twice. TA can be a Hardworking type with probably 0.3 and can be a Lazy type with a probability of 0.7. Professor does not know TA's type. If TA is hard working, it will be X=5 and TA will always work if he gets a scholarship. If TA is lazy, it will be X= 1. There is no time discount for t=2. Find out a Perfect Bayesian Equilibrium of the game.Bill owes Bob $36. Just before Bill pays him the money, he gives Bob the opportunity to play a dice game to potentially win more money. The rules of this game are as follows: If Bob rolls doubles (probability 1/6), Bill will Bob double ($72). If he misses doubles on pay the first try, he can try again or settle for half the money ($18). If he makes doubles on the second try Bill will again pay-up double ($72), but if Bob misses doubles on the second try Bill will only pay him one-third ($12). Should Bob decide to play the dice game with Bill, or insist that he pay the $36 now? Use a decision tree to support your answer.Deborah is at the casino and is considering playing Roulette. In Roulette, a ball drops into one of 36 slots on a spinning wheel. 17 of the slots are red, 17 are black, and 2 are green. Each slot is equally likely and occurs with probability 1/36. Deborah bets $1.00 on black. If the ball drops into a black slot she receives $2.00 and if it drops into a red or green slot, she receives nothing. The expected value of Deborah's bet (after subtracting the $1.00 she bet) is $ Given that Deborah makes this bet, she must be
- Deborah is at the casino and is considering playing Roulette. In Roulette, a ball drops into one of 36 slots on a spinning wheel. 17 of the slots are red, 17 are black, and 2 are green. Each slot is equally likely and occurs with probability 1/36. Deborah bets $1.00 on black. If the ball drops into a black slot she receives $2.00 and if it drops into a red or green slot, she receives nothing. a) The expected value of Deborah’s bet (after subtracting the $1.00 she bet) is $________________ b) Given that Deborah makes this bet, is she risk adverse, risk neutral, or risk loving?Consider the St. Petersburg Paradox problem first discussed by Daniel Bernoulli in 1738. The game consists of tossing a coin. The player gets a payoff of 2^n where n is the number of times the coin is tossed to get the first head. So, if the sequence of tosses yields TTTH, you get a payoff of 2^4 this payoff occurs with probability (1/2^4). Compute the expected value of playing this game. Next, assume that utility U is a function of wealth X given by U = X.5 and that X = $1,000,000. In this part of the question, assume that the game ends if the first head has not occurred after 40 tosses of the coin. In that case, the payoff is 240 and the game is over. What is the expected payout of this game? Finally, what is the most you would pay to play the game if you require that your expected utility after playing the game must be equal to your utility before playing the game? Use the Goal Seek function (found in Data, What-If Analysis) in Excel.A Bank has foreclosed on a home mortgage and is selling the house at auction. There are two bidders for the house, Zeke and Heidi. The bank does not know the willingness to pay of these three bidders for the house, but on the basis of its previous experience, the bank believes that each of these bidders has a probability of 1/3 of valuing it at $800,000, a probability of 1/3 of valuing at $600,000, and a probability of 1/3 of valuing it at $300,000. The bank believes that these probabilities are independent among buyers. If the bank sells the house by means of a second- bidder, sealed-bid auction, what will be the bank’s expected revenue from the sale? The answer is 455, 556. Please show the steps in details thank you!