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
Email: arc@iit.edu

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 563: Mathematical Statistics

Syllabus - Course Overview

Time&place	The class meets 10am-11:15am MW Location: E1-026 NEW LOCATION: RE (formerly E1) classroom 102.
Description	Theory of sampling distributions; interval and point estimation, sufficient statistics, order statistics, hypothesis testing, correlation and linear regression; introduction to linear models.
Goals	(1) Develop proficiency in the concepts listed above. (2) Develop good habits of understanding, communicating, and writing statistical analyses.
Prerequisites	MATH 475 Probability (or MATH 540 Probability).
Textbook	Statistical inference, 2nd edition, by George Casella nad Roger L. Berger.
Software	Some of the assignments in this course will involve the use of statistical computing systems. No previous experience with computer programming is assumed, but I expect that you are able and willing to familiarize yourself with the use of the program of your choice. You can use the JMP software which is available to students in IIT labs. From time to time, I will use R to show examples; R is free to download at http://cran.r-project.org/. For graduate students, use of R is strongly recommended. The instructor's software of choice for this course will be R.
Instructor	Sonja Petrović Office: RE (formerly E1), 111a Office hours: Mondays and Wednesdays 11:45am-12:45pm. 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 Sonja.Petrovic@iit.edu 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 Xiao Huang, who will hold office hours Thursdays 3:30-4:30pm at the usual applied math 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: xhuang23@hawk.iit.edu@hawk.iit.edu.