Available courses

Designed for students in health-related majors, the social sciences, business, or other fields in which a basic knowledge of statistical methods is required. Topics include sampling, descriptive statistics, probability, the normal and binomial distributions, confidence intervals and hypothesis testing for means and proportions, and chi-square tests. Additional topics may include simple linear regression, simulation, and one-way analysis of variance. Computer-based lab activities are required.

A continuation of MATH 171 (Calculus I).  Topics include definite and indefinite integrals, L'Hôpital's rule, techniques and applications of integration, and an introduction to differential equations.  Includes formal definitions and proofs of standard theorems, including the Fundamental Theorem of Calculus.

Designed for students majoring in mathematics, engineering, or the physical sciences, or for those seeking a calculus-based survey of probability and statistics. Topics include combinatorics, probability distributions and densities, mathematical expectation, functions of random variables, sampling distributions, interval estimation, hypothesis testing, linear regression, and analysis of variance.