'Cumulative probability column' diaporamas de présentation

Chapter 3 Fundamentals of Decision Theory Models

Chapter 3 Fundamentals of Decision Theory Models. Learning Objectives. Students will be able to: List the steps of the decision-making process Describe the types of decision-making environments Use probability values to make decisions under risk

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Quantitative Analysis for Management

Quantitative Analysis for Management. Chapter 3 Fundamentals of Decision Theory Models. Chapter Outline. 3.1 Introduction 3.2 The Six Steps in Decision Theory 3.3 Types of Decision-Making Environments 3.4 Decision Making Under Risk 3.5 Decision Making Under Uncertainty

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The Poisson PD

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The Poisson PD

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The Poisson PD

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The Poisson PD

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A probability distribution in general and a binomial example.

A probability distribution in general and a binomial example. X P(X) Cumulative Probability 0 P(0) = a P( 0 or less) = a 1 P(1) = b P(1 or less) = a + b 2 P(2) = c P(2 or less) = a + b + c 3 P(3) = d P(3 or less) = a + b + c + d 4 P(4) = e P( 4 or less) = a + b + c + d + e

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The Poisson PD

164 views • 7 slides