ch05 - 5-1 Two Discrete Random VariablesExample 5-15-1 Two...

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Unformatted text preview: 5-1 Two Discrete Random VariablesExample 5-15-1 Two Discrete Random VariablesFigure 5-1Joint probability distribution of X and Y in Example 5-1.5-1 Two Discrete Random Variables5-1.1 Joint Probability Distributions5-1 Two Discrete Random Variables5-1.2 Marginal Probability Distributions The individual probability distribution of a random variable isreferred to as its marginal probability distribution. In general, the marginal probability distribution of X can be determined from the joint probability distribution of X and other random variables. For example, to determine P(X = x), we sum P(X = x, Y = y) over all points in the range of (X, Y ) for which X = x. Subscripts on the probability mass functions distinguish between the random variables.5-1 Two Discrete Random VariablesExample 5-25-1 Two Discrete Random VariablesFigure 5-2Marginal probability distributions of X and Y from Figure 5-1.5-1 Two Discrete Random VariablesDefinition: Marginal Probability Mass Functions5-1 Two Discrete Random Variables5-1.3 Conditional Probability Distributions5-1 Two Discrete Random Variables5-1.3 Conditional Probability Distributions5-1 Two Discrete Random VariablesDefinition: Conditional Mean and Variance...
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This note was uploaded on 09/21/2010 for the course EIN 3235 taught by Professor Zhai during the Spring '10 term at FIU.

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ch05 - 5-1 Two Discrete Random VariablesExample 5-15-1 Two...

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