Probability

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    Business Analytics

    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 related to our tree * P(A), P(N), P (s1|A), P (s2|A), P (s1|N) et P (s2|N) ?

    Words: 361 - Pages: 2

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    Quantitative Methods for Business

    (b) Revised probabilities for Survey study: | Conditional Probability | | Posterior Probability | State of Nature | P(Favourable result|State of Nature) | Prior Probability | Joint Probability | P(State of Nature|Favourable result) | Successful Market | 0.70 | × 0.50 | = 0.35 | 0.350.45=0.78 | Unsuccessful Market | 0.20 | × 0.50 | = 0.10 | 0.100.45=0.22 | P(Favourable result) = | 0.45 | 1.00 | | Conditional Probability | | Posterior

    Words: 1023 - Pages: 5

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    Quantitative Analysis Avalanche

    334 units. Therefore, for option A, batch flow production is adopted; while for option B and C, line production method is adopted. And there are two sales forecast scenarios for Avalanche Racer: a) 35,000 units with probability of 0.6 b) 25,000 units with probability of 0.4. Other factors include the selling price of Avalanche Racer is $125, and if and only if demand exceeds production, an outside vendor Snowcap is capable of producing for a cost of $ 75 per unit. Unsold units could

    Words: 1343 - Pages: 6

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    Simulation Gong Cha

    within the speed and storage constraints of the computer system being used. Input values for the model as well as probability estimates for the random variables must then be determined. Simulation and Inventory Analysis Probability and Random Number Interval (RNI) for Daily Ingredients Demand Demand for Ingredients (Boxes) | Frequency (Days) | Probability | Cumulative Probability | RNI | 0 | 5 | 0.04 | 0.04 | 01 to 04 | 10 | 20 | 0.14 | 0.18 | 05 to 18 | 20 | 15 | 0.11 | 0.29 | 19 to 29

    Words: 1413 - Pages: 6

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    Accounting and Management

    Past event that leads to Present Obligation Provision CANNOT be created in anticipation of future event. B. Outflow of resources req. to settle the obligation, must be probable. The probablity of this event must be greater than the probability of this not to occur. C. Amount of the obligation, measured realiably. Estimates is essential in preparation of FS True in the case of provision, since it is more uncertain than other items in the FS. Standard suggest that by using

    Words: 471 - Pages: 2

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    Non-Probability Sampling Method

    Participants Choose a sampling method. Probability Sampling or Non-probability Sampling. Probability is the preferred sampling method for researchers. Non-Probability sampling is easier to use but is a less accurate portrayal of the population. Probability sampling is comprised of sampling techniques that specifically target the odds that a participant will be selected from a certain population. This representative sampling is more easily reproduced and testable. Non-Probability sampling is different in the

    Words: 497 - Pages: 2

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    First Course in Probability by Ross

    A Solution Manual for: A First Course In Probability: Seventh Edition by Sheldon M. Ross. John L. Weatherwax∗ September 4, 2007 Introduction Acknowledgements Special thanks to Vincent Frost and Andrew Jones for helping find and correct various typos in these solutions. Miscellaneous Problems The Crazy Passenger Problem The following is known as the “crazy passenger problem” and is stated as follows. A line of 100 airline passengers is waiting to board the plane. They each hold a ticket to one of

    Words: 60161 - Pages: 241

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    Bchapter4

    10/08/2014 Chapter 4 Basic Probability PowerPoint to accompany: Learning Objectives After studying this Chapter you should have a better understanding of: • Basic probability concepts • Conditional probability • To use Bayes’ theorem to revise probabilities • Various counting rules Source: 18846245 2 Copyright © 2013 Pearson Australia (a division of Pearson Australia Group Pty Ltd) – 9781442548473/Berenson/Basic Business Statistics/3e 9781442549272/Berenson/Business

    Words: 1861 - Pages: 8

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    Global Operations

    Unit 2 – Probability and Distributions Amina E. Mark February 19, 2012 American InterContinental University Abstract Probability is a measure of how likely it is for an event to occur. The probability of anything is a number between 0 and 1. The more certain an event is to happen the closer the number is to1. The less certain an event is to happen the closer the number is to 0. (Alexander, N.D.) Memo To: John Doe, CEO From: Amina E. Mark Date: 02-19-2012 Subject: Dear

    Words: 714 - Pages: 3

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    Misterdnadferew

    down, difficulties remain because objective state probabilities are not available. This is perhaps the most fundamental difficulty, since these probabilities must be subjectively estimated. Also an interest rate is not necessarily given. All of these difficulties lead to reliability problems of lack of representational faithfulness and possible bias. The expected present value calculation can still be made, but it is an estimate because the probabilities and other values that go into it are estimates

    Words: 687 - Pages: 3

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