ch5-2x3 - 9/8/2007 1 5-1 Two Discrete Random Variables...

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Unformatted text preview: 9/8/2007 1 5-1 Two Discrete Random Variables 5-1.1 Joint Probability Distributions 5-1 Two Discrete Random Variables 5-1.2 Marginal Probability Distributions The individual probability distribution of a random variable is referred to as its marginal probability distribution . referred 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 Variables Definition: Marginal Probability Mass Functions 5-1 Two Discrete Random Variables 5-1.3 Conditional Probability Distributions 5-1 Two Discrete Random Variables 5-1.3 Conditional Probability Distributions 9/8/2007 2 5-1 Two Discrete Random Variables Definition: Conditional Mean and Variance 5-1 Two Discrete Random Variables 5-1.4 Independence 5-2 Two Continuous Random Variables...
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This note was uploaded on 02/05/2012 for the course ST 315 taught by Professor Staff during the Fall '11 term at S. Alabama.

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ch5-2x3 - 9/8/2007 1 5-1 Two Discrete Random Variables...

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