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Prerequisite: MATH 200 with a minimum grade of "C-" This course provides an introduction to statistical methods for testing hypotheses and analyzing associations between two or more categorical or quantitative variables. Topics include hypothesis testing, formulation of a statistical question, size, power, confidence intervals, rejection regions, p-values, type 1 and type 2 errors, contingency tables, experimental design, independence, dependence, tests of independence, describing and measuring the strength of association, use of residuals, simple and multiple regression, prediction intervals, model checking and goodness-of-fit tests, ANOVA, and an introduction to nonparametric statistics. The course includes hands-on active learning and applications of the concepts in specific contexts using statistical software. Offered spring semester.