A calculus based introduction to basic concepts in probability theory and statistics. Topics include conditional probability and independence; Bayes theorem; discrete and continuous probability distributions for one and for several random variables; expectation and variance; special distributions, including binomial, Poisson, and normal distributions; the central limit theorem. Introduces basic statistical theory, including estimation of parameters, confidence intervals, and hypothesis testing.