S520 | 16273 | Michael Trosset

Basic concepts of data analysis and statistical inference, applied to 1-sample and 2- sample location problems, the analysis of variance, and linear regression. Probability models and statistical methods applied to practical situations and actual data sets from various disciplines. Elementary statistical theory, including the plug-in principle, maximum likelihood, and the method of least squares. S520 provides a strong introduction to elementary statistical methodology and a gentle introduction to elementary statistical theory. It meets concurrently with S320, but includes supplementary material not covered in that course. S520 introduces material that is covered in greater depth in S620 (Introduction to Statistical Theory), but less mathematically and in the context of actual experiments and data. It fulfills the theory requirement for the M.S. degree in Applied Statistics (currently under review).