Introduction to probability pdf download

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Chapter 2 The probability set-up 2.1. Introduction and basic theory We will have a sample space, denoted S (sometimes Ω) that consists of all possible outcomes. For example, if we roll two dice, the sample

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Then, to complete the probabilistic model, we must introduce a probability law. and can be interpreted as the area under the graph of the PDF (see Fig. 3.1).

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In Probability Theory subsets of the sample space are called events. EXAMPLE : The set 17 ? SOLUTION : Introduce an auxiliary variable (or ”slack variable ” ).

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