Introduction to probability and statistical models, using the R software applied to public health datasets. Conditional probability and independence, discrete and continuous random variables, and mass, density, and moment generating functions. Joint, marginal, and conditional distributions, and behavior under changes of variables. Neither multivariable calculus nor linear algebra is assumed.