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
Lec 001
Mon, Wed, Fri 15:00-15:50
Lab, pick one
Lab 002
Tue 12:30-13:50
Lab 003
Thu 10:30-11:50
Syllabus
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