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#### Probability and Random Variables

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This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint distributions; Chebyshev inequality

#### File: 18-440-spring-2011.zip

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#### File: MIT18_440S11_martingale.pdf

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#### File: pascal.pdf

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#### File: MIT18_40S11_midtermone.pdf

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#### File: MIT18_440S11_midtermtwo.pdf

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#### File: MIT18_440S11_practmidterm.pdf

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#### File: MIT18_440S11_midtermone_09.pdf

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#### File: MIT18_440S11_midtermtwo_09.pdf

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#### File: MIT18_440S11_prctmidtrmsol.pdf

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#### File: MIT18_440S11_ProblemSet7.pdf

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#### File: MIT18_440S11_ProblemSet5.pdf

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#### File: MIT18_440S11_ProblemSet8.pdf

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#### File: MIT18_440S11_ProblemSet1.pdf

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#### File: MIT18_440S11_ProblemSet4.pdf

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#### File: MIT18_440S11_ProblemSet10.pdf

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