Stat341Exam2Studyguide - Variance and properties Special...

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Stat341 – Spring07- Exam 2 Study Guide Chapter 2( Section 2.10): Law of total probability: P(A) = P(A|B 1 )P(B 1 )+ P(A|B 2 )P(B 2 )+…+ P(A|B k )P(B k ) and Bay’s Rule: P(B r |A) = [P(A|B r )P(B r )]/ P(A) Check out class/handout exercises Chapter 3 ( Section 3.1 – 3.6, 3.8, 3.9): Discrete Random Variables and their probability distribution Probability mass function p(x)—Properties, how to find and present… Probability distribution function F(x)-- Properties, how to find, present And use of F(x) for finding p(x) Expected values and properties
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Unformatted text preview: Variance and properties Special discrete probability distributions---Bernoulli, Binomial, Geometric, Negative Binomial, Poisson -Know when and how to use them for finding probabilities. [Formulas for p(x), E(X), V(X) for these distributions as well as tables of Binomial and Poisson probabilities will be provided.] Moments and Moment Generating Function General: Go over homework, class exercises and practice problems as given in handouts in class ....
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