This course is a 3-unit graduate-level course in the theory of mathematical statistics. The primary objective of this course is to provide students with a basic foundation in statistics and prepare them for future specialized statistical courses. It will introduce students with statistical theory at a level that will enable students to correctly use statistical mythologies both in practice and research. Another component of this course is the introduction to R. Students will learn not only applications of mathematical statistics but also solving problems using R. Topics covered in this class include statistics and sampling distributions, overview of limit theorems; point estimation—methods and criteria, sufficiency, interval estimation, hypothesis tests, and goodness-of-fit tests.
