This course is an application-oriented course, primarily designed for non-Mathematical Sciences majors, and introduces the student to applied probability. Topics to be covered are: basic probability theory including Bayes theorem; discrete and continuous random variables; special distributions including the Bernoulli, Binomial, Geometric, Poisson, Uniform, Normal, Exponential, Chi-square, Gamma, Weibull, and Beta distributions; multivariate distributions; conditional and marginal distributions; independence; expectation; transformations of univariate random variables. Credit may not be earned both for this course and for MA 2631 Probability Theory.
Recommended Background