: SQQP 5023 COURSE NAME : DECISION ANALYSIS LECTURER : DR. SYARIZA ABDUL RAHMAN email: syariza@uum.edu.my tel: 04 – 9286975/ 016-4127923 1. COURSE SYNOPSIS Mathematical tools have been applied for thousands of years; however‚ the formal study and application of quantitative techniques to practical decision making is largely a product of the twentieth century. Decision analysis refers to a body of techniques that allows a decision-maker to evaluate uncertainty‚ risk
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Probability Concepts 1. Fundamental Concepts of Probability 2. Mutually Exclusive and Collectively Exhaustive 3. Statistically Independent and Dependent Events 4. Bayes’Theorem Learning Objectives • Understand the basic foundations of probability analysis • Learn the probability rules for conditional probability and joint probability • Use Bayes’ theorem to establish posterior probabilities Reference: Text Chapter 2 Introduction • Life is uncertain; we are note sure what the
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FREELANCER MANUAL GET TO WORK‚ GROW YOUR CAREER‚ AND BE AN ODESK SUPERSTAR! Copyright © 2013‚ oDesk Corp. All rights reserved. 1 Freelancer Manual What’s Inside Part 1: Welcome to oDesk What does oDesk do? ....................3 Why should I work on oDesk? ....................3 How does oDesk make money? ....................3 What is online work? ....................4 How is online work different from traditional work? ...................
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Email alerts o Twitter o Webcasts/podcasts * Global (English) * Ernst & Young * Home * Insights * Industries * Services * Careers * You are here: * Home * > Insights * > Business environment * > Competing for growth: Winning in the new economy - Competing for growth: the framework Competing for growth framework Our research shows that high-performing companies are significantly ahead of their competitors in four
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Decision Analysis Course Outline‚ Quarter I‚ 2006 Class Materials Topic Hardcopy in Packet Other* Introduction 1 Freemark Abbey Winery Structuring Decisions Framework for Analyzing Risk 2 The North Star Concert North Star.xls Best Guess‚ Worst Case‚ Best Case; and Continuous Uncertainties 3 Engine Services‚ Inc. Quick Start Guide to Crystal Ball Analyzing Uncertainty‚ Probability Distributions‚ and Simulation Learning Module: Crystal Ball Litigate Demo Engine Services.xls Language
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Explaining Concepts Concepts of Dating According to the article Dating‚ by Beth L. Bailey. We know dating is a new style of courtship‚ which was started in the early twentieth. With the emergence of this new style of courtship‚ the old one was replaced. What I remembered as an example of good explanatory writing is the writer using time order to tell the history of old courtship and when the new system of dating was emerging. And the readers probably are young people they don’t know how the
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Concepts of Decision Making MMPBL/500 Foundations of Problem Based Learning Abstract Key concepts of decision making are a vital part of keeping a company successful and happy employees. There are many areas to take into consideration when applying these decisions. To begin managers must apply their critical thinking skills. As a manager you must choose a decision making concept. Then analyze the concept that is going to be used. Also take a close look at the symptoms and problems
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in which many firms sell similar but not identical products with almost no barriers for the new comers (478). Discriminating the differences of the markets is essential‚ not only for economists‚ but also for the people who want to start their own business. Among four market structures‚ oligopoly and monopoly can be distinguished easily since they possess relatively small amount of firms and are difficult to enter (442). But monopolistic competition and perfect competition—a market structure in which
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PROBABILITY DISTRIBUTION In the world of statistics‚ we are introduced to the concept of probability. On page 146 of our text‚ it defines probability as "a value between zero and one‚ inclusive‚ describing the relative possibility (chance or likelihood) an event will occur" (Lind‚ 2012). When we think about how much this concept pops up within our daily lives‚ we might be shocked to find the results. Oftentimes‚ we do not think in these terms‚ but imagine what the probability of us getting behind
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Probability 1.) AE-2 List the enduring understandings for a content-area unit to be implemented over a three- to five- week time period. Explain how the enduring understandings serve to contextualize (add context or way of thinking to) the content-area standards. Unit: Data and Probability Time: 3 weeks max Enduring Understanding: “Student Will Be Able To: - Know what probability is (chance‚ fairness‚ a way to observe our random world‚ the different representations) - Know what the
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