Description
This course deals with fundamental and advanced concepts in probability, statistical methods, and hypothesis testing. Topics include, but are not limited to, fundamentals of probability; summary statistics; basic hypothesis testing; analysis of frequency data; analysis of variance; regression and correlation; factor analysis and principal components analysis; discriminant analysis; and other multivariate methods. Nonparametric approaches will also be covered. Statistical power will be discussed in the context of research design. Prerequisites: One year of undergraduate calculus (e.g. MAT 141/142), and either a 200-level undergraduate course in statistics (e.g. BIO 248 or MAT 210) or an earned Bachelor’s degree; grades of C- or better are required for prerequisite courses.