|Homework: | DATA MODEL AND DECISION MAKING by Demitri Betrimas | • Exercise 2.4 • Exercise 2.9 • Exercise 2.24 Exercise 2.4 – a) What is the probability of finding oil at all three of the sites? The table below shows the different events and there probabilities Event Symbol Probability The event of finding oil at 1st site A 0.70 The event of finding
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Instructor’s Manual Chapter 3 31 Manual to accompany Data‚ Models & Decisions: The Fundamentals of Management Science by Bertsimas and Freund. Copyright 2000‚ South-Western College Publishing. Prepared by Manuel Nunez‚ Chapman University. Chapter 3 I Chapter Outline 3.1 Continuous Random Variables 3.2 The Probability Density Function 3.3 The Cumulative Distribution Function. The uniform
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Data Models Consider a simple student registration. Specifically we want to support the tasks of students registering for or withdrawing from a class. To do this‚ the system will need to record data about what entities? What specific data about the entities will need to be stored? What is the cardinality between students and courses? Diagram the data model. While‚ considering a student class registration system for registering or withdrawing a system must have the capability to record data in
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B6015: Decision Models Modeling Group Project The purpose of this group project is to apply the modeling concepts and methods learned in class to an important real-world decision making problem based on your own work or personal experience. It could include a problem faced at job‚ consulting assignment‚ school‚ club‚ organization‚ etc. that someone in your group has been personally involved with. For examples of past projects‚ see under the Content / Sample Projects on the Angel page for the
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Instructor’s Manual Chapter 1 1 Chapter 1 I 1.1 Chapter Outline A Decision Tree Model and Its Analysis • The following concepts are introduced through the use of a simple decision tree example (the Bill Sampras ’ summer job decision): Decision tree Decision node Event node Mutually exclusive and collectively exhaustive set of events Branches and final values Expected Monetary Value (EMV) Optimal decision strategy • Introduction of the folding back or backward induction procedure for
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SOLUTIONS MANUAL to accompany MODERN AUDITING & ASSURANCE SERVICES 3rd edition Prepared by Philomena Leung‚ Paul Coram and Barry Cooper © John Wiley & Sons Australia‚ Ltd 2007 Chapter 1 Auditing‚ assurance and the public accounting profession Review questions 1.1 How does an expanded role of professional accountants affect the accounting profession? The expanded role of professional accountants has affected the accounting profession‚ in
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Tasmania BEA 654 Data and Business Decision Making Semester 2‚ 2013 CRICOS Provider Code 00586B Partial Solutions to Problem Set 2—Week 3 1. Arithmetic mean= (-0.5+1)/2=0.25 (25%) Geometric mean of annual rate of return RG (1 RG ) 2 (1 (0.5))(1 1) R G 0 .5 * 2 1 0 The geometric mean reflects the true return of the investment. 2. c. See the formula. 3. The whole crew is present‚ so this is a population. X = 567‚ X2 = 48‚165‚ N=7 Ordered array of data: 49‚ 63‚ 77‚ 85
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The Enterprise Data Model Introduction An Enterprise Data Model is an integrated view of the data produced and consumed across an entire organization. It incorporates an appropriate industry perspective. An Enterprise Data Model (EDM) represents a single integrated definition of data‚ unbiased of any system or application. It is independent of "how" the data is physically sourced‚ stored‚ processed or accessed. The model unites‚ formalizes and represents the things important to an organization
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The Evolution of Data Models The quest for better data management has led to different models that attempt to resolve the file system’s critical shortcomings. Because each data model evolved from its predecessors‚ it is essential to examine the major data models in roughly chronological order. 1.1 The Hierarchical Model A Hierarchical Database Model is a data model in which the data is organized into a tree-like structure. The structure allows representing information using parent/child relationships:
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Logical Data Models into Physical Data Models Susan Dash Ralph Reilly IT610-1404A-01 According to an article written by Tom Haughey the process for transforming a logical data model into a physical data model is: The business authorization to proceed is received. Business requirements are gathered and represented in a logical data model which will completely represent the business data requirements and will be non-redundant. The logical model is then transformed into a first cut physical model by applying
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