Unit: College of Arts and Sciences
Department: Department of Statistics
Office location and address
148 Amphitheater WayCharlottesville, Virginia 22904
This course provides a calculus-based introduction to mathematical statistics with some applications. Topics include: sampling theory, point estimation, interval estimation, testing hypotheses, linear regression, correlation, analysis of variance, and categorical data. Prerequisite: MATH 3100 or APMA 3100.
This course includes an overview of parametric vs. nonparametric methods including one-sample, two-sample, and k-sample methods; pair comparison and block designs; tests for trends and association; multivariate tests; analysis of censored data; bootstrap methods; multifactor experiments; and smoothing methods. Prerequisite: STAT 1120 or STAT 2120
Introduces various topics in experimental design, including simple comparative experiments, single factor analysis of variance, randomized blocks, Latin squares, factorial designs, blocking and confounding, and two-level factorial designs. The statistical software R is used throughout this course.