interactive Ethics Game Simulation, located on the student website. You will only be able to go through the simulation once, so please use this worksheet to take notes. The simulation will use the following decision model with the indicated critical decision points. Take notes about your decisions or make a copy of the screen when you complete the work to assure that you have the information needed to write your reflection at the end of the simulation. |The Case of the Troubled Teen
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Exercice 1 1 / Decision Tree 2/ The recommended strategy * EV(init. prop) = $750’000 * EV*(c.offer) = 0.1*400’000 + 0.2* 750’000 + 0.12*1’500’000 + 0.5*600’000 = $670’000 the EV*(c.offer) is a better solution since its expected value is smaller than EV(init.prop). 3/ risk profile Amount | Probability | 0 $ | 0.08 | 400 $ | 0.1 | 600 $ | 0.5 | 750 $ | 0.2 | 1500 $ | 0.15 | Exercice 2 1 / Decision Tree Lets compute the rest of probablities
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YORK UNIVERSITY Faculty of Liberal Arts and Professional Studies School of Administrative Studies AP/ADMS 3300 Section “A” - Decision Analysis Fall 2014 Assignment #2 Submitted to Course Director: S. Abdullah | |
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Table of Contents Executive Summary McDonald’s Corporation currently markets its products across its 8 geographic segments through customizing its food items to suit local tastes and preferences. Furthermore, all advertisements are shot in 12 different languages, featuring the customized products catered to each region. However, the company’s international motto, “I’m Lovin’ it”, is not translated. McDonald’s locates all of its franchises in convenience locations such as malls, airports and local
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Body Fabrication | | | | | | | | | ` | | Q1 | Q2 | Q3 | Q4 | Produced | B1 | Q1 | 1850 | 0 | 0 | 0 | 1850 | | Q2 | 0 | 275 | 0 | 0 | 275 | | Q3 | 0 | 0 | 1000 | 0 | 1000 | | Q4 | 0 | 0 | 0 | 100 | 100 | Overtime | Q1 | 0 | 0 | 0 | 0 | | | Q2 | 0 | 425 | 0 | 0 | | | Q3 | 0 | 0 | 300 | 0 | | | Q4 | 0 | 0 | 0 | 0 | | | Total Supplied | 1850 | 700 | 1300 | 100 | | | | = | = | = | = | | | Demand | 1850 | 700 | 1300 | 100 | | | | | | | | |
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DECISION MODELS Decisions Making Under Uncertainty Decisions Making Under Risk 1. Max-Min Criteria (pessimist) 1. Expected Payoff (Average) - Best of the worst A. Multiply payoffs by probabilities and -Becomes (Min-Max) if loss table add up. (For each action separately) A. Find min (max) in each row B. Pick best action B. Pick the best of the Max (Min) 2. Expected Opportunity Loss A. Set up loss matrix -Subtract all numbers in each column Criteria
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Solution to Wireshark Lab: IP Fig. 1 ICMP Echo Request message IP information 1. What is the IP address of your computer? The IP address of my computer is 192.168.1.46 2. Within the IP packet header, what is the value in the upper layer protocol field? Within the header, the value in the upper layer protocol field is ICMP (0x01) 3. How many bytes are in the IP header? How many bytes are in the payload of the IP datagram? Explain how you determined the number of payload bytes. There are 20 bytes
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Decision The Court agreed that the new tableware did not correspond to the description of what had been ordered by Coastal Hotels Ltd. Any minor deviation from the contractual description of the goods may constitute a breach of the implied condition. Therefore, the change of the word on the backstamp from Royal Doulton to Capital was an alteration to the goods that the plaintiff received. As a result, he Court rules in favor of Coast Hotels under breach of warranty using rules from Sales of Goods
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Analyzing Managerial Decisions: Interwest Healthcare Chapter 2 Case Study 1. What are the potential sources of the problem? After reading the case study it seems that one problem between the hospitals and upper management seems to be lack of communication. It seems that Singh and Mrs. Manzoni have not affectively communicated to the hospital administrators what the goals of the company are and what is best for the company. I believe that Mrs. Singh and the hospital administrators value the
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Britanie Baker Decision Making Analysis Summary April 27, 2015 MGT/230 Ronald Sprague Decision Making Analysis Summary “The business executive is by profession a decision maker. Uncertainty is his opponent. Overcoming it is his mission” John McDonald. This statement is the best description for Anne Mulcahy. CEO of Xerox, Anne Mulcahy, is a very successful CEO who started her made her way up the corporate latter starting in sales. Anne Mulcahy was dedicated to the success of Xerox, and
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