Selected announcements

5 Jan: Welcome to Math 476/563! Please log into Blackboard to access the Piazza for this course.

Further course news will be posted on Piazza!

Help @ARC

The ARC provides the following free services:
- Peer tutoring for a wide range of courses
- Exam reviews
- Supplement Instruction
- Workshops and Seminars
- Group study
- Computing and Printing
Location: Hermann Hall Building-First Floor (Northwest Corner) Room HH-112
Telephone: (312) 567-5216

Software help

JMP software is available to students at IIT labs on campus.

Download R, and to read about it, click on the link "What is R"?

Downloadable Books on R: An Introduction to R, by William N. Venables, David M. Smith and the R Development Core Team; Using R for Data Analysis and Graphics - Introduction, Code and Commentary, by John H. Maindonald.
See also Prof. Yang's post on learning R in 15 minutes.

Help with typing math: TeX, etc.

You are encouraged to type your assignments. You can access LaTeX in the computer labs; more information and help can be found on this departmental page. Note: for Macs, I recommend TeXShop.
You might also consider using the what-you-see-is-what-you-get text editor TeXmacs; it makes it unnecessary for you to learn the LaTeX typesetting language while producing output of comparable quality. The program is freely downloadable, available for various platforms, able to import and export LaTeX files, and offers a plugin for certain software packages.

Math 476/563: Mathematical Statistics

Syllabus - Course Overview

Time&place The class meets 10am-11:15am MW
Location: E1-036.
Description Estimation theory; hypothesis tests; confidence intervals; goodness-of-fit tests; correlation and linear regression; analysis of variance; non-parametric methods.
Theory of sampling distributions; interval and point estimation, sufficient statistics, order statistics.
For graduate students, this course has a two-fold aim:
(1) develop proficiency in the concepts listed above, and
(2) develop good habits of understanding, communicating, and writing statistical analyses.
To access the Department's general course syllabi, for 476, click here, and for 563, click here.
Prerequisites MATH 475 Probability or MATH 540 Probability.
Instructor Sonja Petrović
Office: E1, 111a
Office hours: Mondays and Wednesdays 12:30-1:30pm.
e-contact: The best way to e-communicate with the instructor is via Piazza - it has already been set up so that you can log into it from Blackboard directly. After the initial setup, you will be able to log in to Piazza without going through Blackboard. If you must email, please use and put the course number in the subject line. Your message will generally be answered within 48 hours.
Graduate assistant The graduate assistant for this course is Yuhan Ding, who will hold office hours, Tuesdays and Thursdays 2:30-4:00pm, at the usual graduate TA office E1-129.
e-contact: The best way to contact the TA is to post a note on Piazza. For particular homework grading inquiries: