Probability and Random Variables, Fall 2005
(Complete Item Description)
- Abstract:
This course introduces students to probability and random variable. 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.
- Subject:
- Mathematics and Statistics
- Grade Level:
- Post-secondary
- Collection:
- MIT OpenCourseWare
