ch5 - 5-1 Two Discrete Random Variables 5-1.1 Joint...

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Two Discrete Random Variables 5-1 Two Discrete Random Variables 5-1.1 Joint Probability Distributions
Two Discrete Random Variables 5-1 Two Discrete Random Variables 5-1.2 Marginal Probability Distributions he individual probability distribution of a random variable is • The individual probability distribution of a random variable is referred to as its marginal probability distribution . general the marginal probability distribution of an be • 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.

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Two Discrete Random Variables 5-1 Two Discrete Random Variables Definition: Marginal Probability Mass Functions
Two Discrete Random Variables 5-1 Two Discrete Random Variables 5-1.3 Conditional Probability Distributions

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Two Discrete Random Variables 5-1 Two Discrete Random Variables 5-1.3 Conditional Probability Distributions
Two Discrete Random Variables 5-1 Two Discrete Random Variables Definition: Conditional Mean and Variance

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5-1 Two Discrete Random Variables 4I d d 5-1.4 Independence
5-2.1 Joint Probability Distribution Definition

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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 - 5-1 Two Discrete Random Variables 5-1.1 Joint...

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