There will be regular homework, including assignments which require the use of MTS, two midterms, and a final exam. Introduction to Probability. See Math 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.
The Design of Scientific Experiments. The objective of this course is to introduce students to the process of planning, designing and implementation of a study. Includes enumerative, Monte Carlo, observational and controlled randomized experimentation. 500 or permission of instructor. Applications and data analysis using the computer will be stressed.