'Nonnegative function' diaporamas de présentation

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Random Variables

Random Variables. Discrete: Bernoulli, Binomial, Geometric, Poisson Continuous: Uniform, Exponential, Gamma, Normal Expectation & Variance, Joint Distributions, Moment Generating Functions, Limit Theorems. Definition of random variable.

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CONTINUOUS RANDOM VARIABLES

CONTINUOUS RANDOM VARIABLES. Sections 4.1-4.4. Definition and Basic Properties.

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6.3 Definite Integrals and the Fundamental Theorem

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Joint and marginal distribution functions

Joint and marginal distribution functions. For any two random variables X and Y defined on the same sample space, the joint c.d.f. is For an example, see next slide. The marginal distributions can be obtained from the joint distributions as follows:

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