Math 563: Mathematical Statistics
Syllabus - Course Overview
Time&place |
The class meets 10am-11:15am TR Location: RE-102. COVID-19 CLASS DISRUPTION: MOVING ONLINE! We are using Google Meet for lectures, shared videos of my notes/lecture via Explain Everything EDU, homework submiossion on Google Classroom, and continue to use Campuswire for an online discussion forum! |
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).
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Textbook |
Statistical inference, 2nd edition, by George Casella nad Roger L. Berger.
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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 shouuld
be available to students in IIT labs. The instructor's software of choice for this course will be R. |
Instructor | Sonja Petrović
Office: RE 208. Office hours: Wednesdays 12:30-1:30, and by appointment (mostly available on Thursdays 11:30-12:30). COVID-19 CLASS DISRUPTION: MOVING ONLINE!New office hours: Mondays 9-10pm and Thursdays 11:15am-12:15pm. Use Google Meet listed in our Campuswire forum. e-contact: The best way to e-communicate with the instructor is via Campuswire -- here is the sign-up link; course code will be given out first day of class. 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, but generally faster on Campuswire, given the sheer volume of emails arriving to my inbox. |
Graduate assistant | The graduate assistant for this course is Xiaoxia Tang, who will hold office hours on Mondays 3:30-5:30pm and Thursdays 9-10am, room RE-129 (the usual applied math graduate TA office). COVID-19 CLASS DISRUPTION: MOVING ONLINE! Online office hours provided -- see Campuswire post from TA for details! Visit the IIT Applied Math Virtual Math Tutoring Center! e-contact: The best way to contact the TA is to post a note on Campuswire. For particular/personal homework grading inquiries: xtang15@hawk.iit.edu. |