NEW 27.03.2018 Exam 2018.
This is a webpage for a 7.5 hp undergraduate
statistical course starting on Monday 15/1, 2018.
Instructors: Serik Sagitov
(lectures, exercises) and Sebastian Jobjörnsson (responsible for bonus assignments)
Textbook: Mathematical
statistics and data analysis, 3rd edition, by John Rice
Course syllabus is here.
Course description
This is a second course in
mathematical statistics suitable for students with different backgrounds. It
builds upon an introductory course in probability and statistics to give a
deeper understanding of some traditional topics in mathematical statistics such
as methods based on likelihood, topics in descriptive statistics and data
analysis with special attention to graphical displays, aspects of experimental
design.
The course introduces a number
of standard tools of statistical inference including
bootstrap, parametric and
non-parametric testing, analysis of variance, and basics of Bayesian inference.
Lectures (schedule and lecture notes)
Mondays at 13.15-15.00, room Pascal
Wednesdays at 13.15-15.00,
room Pascal (no class 7/2, exercise on 7/3)
Exercises (schedule, list of exercises, and solutions)
Tuesdays at 15.15-17.00, room Euler
(no class 6/2 and 6/3)
Fridays at 13.15-15.00, room MVH12
(no class 9/3)
Final exam
March 13, 2018,
14.00-18.00
June 5, 2018, 14.00-18.00, 1st
resit exam
August, 2nd resit exam
Grading system and Bonus points
click here.
Students feedback
If you have a question on the course content so far that you want me to
address once again, please send an email to serik at chalmers.se. I will answer to those questions that repeatedly appear in
students’ emails.
Old exams with answers
2018,
2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009,
2008, 2007, 2006, 2005, 2004