Bernoulli - p X ( x ) = 0.5, if x =1 1-0.5, if x = Example...

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Learning Objectives Recognize and use the probability mass functions of common discrete random variables: Uniform Bernoulli Binomial Geometric Poisson
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p X ( x ) = p , if x =1 1- p , if x = 0 Bernoulli model situations with two outcomes
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Example Tossing a fair coin P(heads) = 0.5 P(tails) = 0.5 if Heads then X = 1 if Tails then X = 0
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Unformatted text preview: p X ( x ) = 0.5, if x =1 1-0.5, if x = Example A person is either sick or healthy P(disease) = 0.3 P(normal) = 0.7 if Disease then X = 1 if Normal then X = 0 p X ( x ) = 0.3 , if x =1 1-0.3, if x = Exercise Exercise #1...
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Bernoulli - p X ( x ) = 0.5, if x =1 1-0.5, if x = Example...

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