STAT2011 Statistical Models
General Information
This page contains information on the Intermediate Unit of Study STAT2011: Statistical Models.
This unit is offered in Semester 1.
The lecturer for this unit of study is Michael Stewart.
For further information on Intermediate Mathematics and Statistics, refer to the Intermediate Handbook.
You may also view the Faculty Handbook entry for STAT2011 from the central units of study database.
- Credit point value: 6CP.
- Classes per week: Three lectures, one tutorial and one computer laboratory session.
Links for STAT2011
- Assignment 1 Solutions.
- PRE-EXAM CONSULTATION: Michael will be available again on Monday 15th June 4-5pm in Carslaw 818. He will not be available any other day, but is happy to receive email quesitons any time during the week before the exam.
- Assignment 2 Solutions.
- Some solutions for the 2007 Exam. The 2007 and 2008 exam papers are available on the library website. See Lecture 39 for some 2008 solutions.
- PRE-EXAM CONSULTATION: Michael will be available for pre-exam consultation Friday 12th June 12-3pm in Carslaw 818.
- The quiz in week 13 has been cancelled, since it was not listed in the course outline. The answers to the sample quiz may still be useful, however. Note that the computer exam is still on, and the second assignment is due at the end of week 13.
- Assignment 2 is now available. Note that it is due at the end of week 13. Please submit your work according to the same directions given below for the first assignment.
- Solutions to the computer exercises are linked to below. Note that no more week 10 exercises will be accepted after Tuesday this week.
- Please do not put special consideration forms under the lecturer's door. You must take (an appropriate number of copies of) your form to the Students' Services office on level 5; please read the School's Special Consideration procedure.
- Although the strike is cancelled, we will still have the quiz in week 10. The quiz covers all tutorial work up to and including week 8. A sample quiz is available; solutions now available.
- The first assignment is now available. It is due 5pm Tuesday 21st (not 14th) April 2009. Please staple your assignment into a manila folder, with a signed assignment cover sheet. Place your folder into the white lock-up box on level 8 (near the entrance to the stairwell, opposite the lifts) with the (old, partly obscured) label STAT2002 and STAT2004.
- The lecturer is available for consultations Wed 1-2pm in Carslaw 818. If you cannot make that time, please email to arrange a mutually convenient alternate time.
- There is a quiz in week 5, in tutorials; students must take the quiz in the tutorial for which they are enrolled, otherwise the special consideration procedure must be employed. A sample quiz with solutions is available. Please see Michael in Carslaw 818 on Wed 1-2pm if you need help.
- IMPORTANT VENUE CHANGE: The Tuesday 2pm Tutorial class has been moved from 350 to the room next-door, 351. This is a permanent change for the rest of the semester.
- Lecturer's Home Page.
- Useful information, including assessment details (with typo fixed: computer classes are on Mon and Tue).
- The textbook is "An Introduction to Mathematical Statistics and Its Applications" (4th edition) by Richard J. Larsen and Morris L. Marx.
- Note that there are NO tutorials or computer classes in the first week.
- Information for both the the R computing system and the process() utility for preparing computer exercise reports.
- The R guide by Jason Owen.
- There are many user-contributed manuals/guides for R on the R website including two R "Reference Cards", one which is one page and another which is four pages.
- Lectures
- Week 1: Lecture 1, Lecture 2, Lecture 3, relevant pages.
- Week 2: Lecture 4, Lecture 5, Lecture 6, relevant pages.
- Week 3: Lecture 7, Lecture 8, Lecture 9, relevant pages.
- Week 4: Lecture 10, Lecture 11, Lecture 12.
- Week 5: Lecture 13, Lecture 14, Lecture 15.
- Week 6: Lecture 16, Lecture 17, Lecture 18.
- Week 7: Lecture 19, Lecture 20, Lecture 21.
- Week 8: Lecture 22. Lecture 23, Lecture 24.
- Week 9: Lecture 25, Lecture 26, Lecture 27.
- Week 10: Lecture 28, Lecture 29. Lecture 30.
- Week 11: Lecture 31, Lecture 32, Lecture 33.
- Week 12: Lecture 34, Lecture 35, Lecture 36.
- Week 13: Lecture 37, Lecture 38, Lecture 39.
- Tutorial Exercises
- Week 2: section 2.2: 2, 4, 10, 12, 16, 24, 26; section 2.3: 2, 4, 6. Solutions: first part, second part.
- Week 3: section 2.3: 10, 12, 16; section 2.4: 2, 6, 10, 18, 24, 30, 34, 42, 46. Solutions: first part, second part.
- Week 4: section 2.5: 6, 12, 14, 20, 24; section 2.6: 4, 6, 10. Solutions: first part, second part.
- Week 5: section 2.6: 22, 26, 38, 40, 46; section 2.7: 2, 8, 10, 14; solutions.
- Week 6: section 3.2: 2, 6, 14, 18, 22, 24, 28; solutions.
- Week 7: section 3.3: 4, 6, 10, 14; section 3.4: 4, 6, 10, 14; section 3.5: 4, 8, 12. Solution: first part, second part.
- Week 8: section 3.5: 14, 18, 22, 24, 26, 32; section 3.6: 2, 6, 8, 16; solutions.
- Week 9: section 3.6: 20, 24; section 3.7: 2, 6, 10, 14, 20, 28, 38, 40, 42, 44, 46; solutions: first part, second part, third part, fourth part.
- Week 10: section 3.8: 2, 6; section 3.9: 2, 8, 10, 16; section 3.10: 2, 4, 6, 8. Solutions: first part, second part, third part.
- Week 11: section 3.11: all even-numbered exercises; section 3.12: not covered, not examinable; section 4.2: 4,6,8. Solutions: first part, second part
- Week 12: section 4.2: 10, 16, 22, 26; section 4.3: 2, 4, 6, 18, 24, 30, 34; section 4.4: 2, 6; section 4.5: 4. Solutions: first part, second part, third part, fourth part.
- Week 13: section 4.6: 4, 6, 8; section 5.2: 4, 6, 10, 12. Solutions: see fourth part of week 12, plus this file.
- Week 2
- Week 3
- Week 4
- Week 5; Solutions: text file, pdf file.
- Week 6; Solutions: text file, pdf file.
- Week 7; Solutions: text file, pdf file.
- Week 8; Solutions: text file, pdf file.
- Week 9; Solutions: text file, pdf file.
- Week 10; Solutions: text file, pdf file.
- Week 11
- Week 12