There will be regular homework, including assignments which require the use of MTS, two midterms, and a final exam. Introduction to Probability. See Mathematics 425. 426. 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.
Applied Statistics I. Math. Review of matrices, multivariate normal and related distributions. Applications and real data analysis will be stressed, with students using the computer to perform statistical analysis. Permission of instructor. The prerequisites for the course are Mathematics 115 and 116 or equivalent.