Elements of Mathematical Statistics teaches students about uncertainty: how to express it mathematically, how to understand it probabilistically, and how to deal with it statistically. When I teach this course, I spend the first half of the semester focusing on probability rules and common probability distributions. In the second half of the semester, I apply what we've learned about probability to real-world data, introducing statistical analysis and explaining its role in scientific inquiry.
Room: Mitchell Hall (MH), Rm. 102
Time: Tuesday & Thursday, 12:30pm – 1:45pm
Prerequisites: MATH 163 or MATH 181 (Integral Calculus)
Syllabus: sp20syllabus.pdf
To help you understand the material in this course better, we offer discussion sections where TAs will provide additional help with the material we've been covering. I strongly recommend that you attend one session per week to help you follow along.
Jared DiDomenico's R Tutorial: JD_R_Tutorial.pdf (R Code)
Md Rashidul Hasan's R Tutorial: MRH_R_Tutorial.docx
Syllabus: sp18syllabus.pdf
Office: SMLC 328
Spring 2020 Office Hours: