Introduction to Probability. Sections 001 and 002. See Mathematics 425 for description. Introduction to Mathematical Statistics. This course covers the basic ideas of statistical inference, including sampling distributions, estimation, confidence intervals, hypothesis testing, regression, analysis of variance, nonparametric testing, and Bayesian inference.
Weekly problem sets, two hourly exams, and one final exam.
Statistical Quality Control. Statistics 311 or IOE 365. Design and analysis of procedures for forecasting and control of production processes. This course will introduce students to basic principles in classical experimental design, including randomization, replication, confounding, interaction, covariates, use of the general linear model. There will be weekly assignments and a final exam.