A calculus-based approach to probability and statistics. Topics include: fundamentals of probability; discrete and continuous random variables; distributions such as binomial, uniform, Poisson, hypergeometric, normal, and gamma; joint, marginal, and conditional distributions; central limit theorem; and estimation. Hypothesis testing and statistical inference methods may be included as time permits. A student may not receive credit for both MATH 270 and MATH 370. Pre-requisite: MATH 250 (or equivalent) with a grade of C- or better. As needed.