**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.

- Monday/Wendesday at 5pm in DSH 000 with Md Rashidul Hasan
- Tuesday/Thursday at 4pm in DSH 000 with Jared DiDomenico

*Applied Statistics & Probability for Engineers, 7th ed.*by Montgomery & Runger*Statistical Inference, 2nd ed.*by Casella & Berger- Introduction to Probability, Statistics, & Random Processes by Hossein Pishro-Nik

**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:- Tuesday 3:30pm – 5:00pm
- Friday 11:00am – 12:30pm