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Unformatted text preview: Probability Theory  A Mathematical Basis for Making Decisions under Risk and Uncertianty: Lecture III Charles B. Moss August 24, 2010 Charles B. Moss () Probability Theory  A Mathematical Basis for Making Decisions under Risk and Uncerti August 24, 2010 1 / 11 Outline 1 Introduction Introduction 2 Set Theory and Probability Probability Set Function Charles B. Moss () Probability Theory  A Mathematical Basis for Making Decisions under Risk and Uncerti August 24, 2010 2 / 11 Introduction Introduction Introduction In the vernacular of the statistician the unknown or unknowable event is called a random variable . The observed value of a random variable is then referred to as an observation or outcome of the random variable. If the outcome is known in advance then the process is not random, but deterministic or certain . An event whose outcome is not known with certainty is called random or stochastic . Random variables with finite numbers of outcomes are typically referred to as discrete random variables . The alternative to a discrete random variable is a continuous random variable . Charles B. Moss () Probability Theory  A Mathematical Basis for Making Decisions under Risk and Uncerti August 24, 2010 3 / 11 Introduction Introduction Introduction  Continued Intuitively, we define the probability of an event as the relative likelihood that the event will occur....
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 Fall '08
 Weldon

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