STAT 2410

Intro to Probability Theory

Lec 001 and Lab 002 selected

Covers combinatorial analysis, axioms of probability, conditional probability, independence, random variables, distribution function, mathematical expectation, Chebyshev?s inequality, joint distribution of two random variables, binomial and related distributions, Poisson, gamma, beta, normal, student t and F distributions, functions of random variables, convergence in probability, convergence in distribution, central limit theorem.

Sections

Lecture
Lab, pick one

Syllabus

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