Prof. Scott Sheffield
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; law of large numbers; and central limit theorem.
Sheffield, Scott. 18.440 Probability and Random Variables, Spring 2011. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/mathematics/18-440-probability-and-random-variables-spring-2011 (Accessed). License: Creative Commons BY-NC-SA