NEW 27.03.2018 Exam 2018.

MSG200/MVE155: Statistical Inference (Statistisk slutledning)

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 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