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Decision Theory


Learning Objectives

After completing this chapter, you should be able to:
  1. Outline the characteristics of a decision theory approach to decision making.
  2. Describe and give examples of decisions under certainty, risk, and complete uncertainty.
  3. Make decisions using maximin, maximax, minimax regret, Hurwicz, equally likely, and expected value criteria and use Excel to solve problems involving these techniques.
  4. Use Excel to solve decision-making problems under risk using the expected value criterion.
  5. Develop decision trees that consist of a combination of decision alternatives and events.
  6. Use TreePlan to develop decision trees with Excel.
  7. Determine if acquiring additional information in a decision problem will be worth the cost.
  8. Calculate revised probabilities manually and with Excel.
  9. Analyze the sensitivity of decisions to probability estimates.
  10. Describe how utilities can be used in lieu of monetary value in making decisions.










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