STAT3914 Applied Statistics (Advanced)

General Information

This page contains information on the Senior advanced Unit of Study STAT3914: Applied Statistics (Advanced).

• Taught in Semester 2.
• Credit point value: 6.
• Classes per week: Three lectures and one tutorial.
• Lecturer(s): John Robinson, Shelton Peiris and Jennifer Chan.

Please refer to the Senior Mathematics and Statistics Handbook for all questions relating to Senior Mathematics and Statistics. In particular, see the STAT3914 handbook entry for further information relating to STAT3914.

You may also view the Faculty Handbook entry for STAT3914 from the central units of study database.

STAT3014 General Information

• General course information [pdf]
• Lecture:  Robinson - Multivariate Analysis (Weeks 1-7): Wednesday 9 [Carslaw 451] Friday 9 [Carslaw 451].
• Lectures:  Chan - Survey Sampling (Weeks 1-13): Monday 9 [Carslaw 451].
• Lectures:  Peiris - Categorical Data(Weeks 7-13): Wednesday 9 [Carslaw 451] Friday 9 [Carslaw 451].
• Tutorial:  Robinson (Weeks 1-13): Thursday 10 [Carslaw 451].
• Computer Practical Class:  Robinson (Weeks 1-13): Friday 10 [Carslaw 610].
• Consultation hours:  Robinson: Monday 10-11am [Carslaw 822].
• Consultation hours:  Chan: Monday 10-11am [Carslaw 817].
• Consultation hours:  Peiris: Thursday 1-2pm [Carslaw 819].
• Note that there are tutorials and computer classes in the first week.
• All Computer class reports are due by 11am the following Monday morning.

• Lecture notes for Multivariate Analysis: MVA.pdf

• Lecture notes for Survey Sampling: Chapter 1 to 2 With solution

• Lecture notes for Survey Sampling: Chapter 3 to 4 With solution

• Tutorials for survey sampling

  • Summary of formulae
  • Tutorial 1 with solution
  • Tutorial 2 with solution
  • Tutorial 3 with solution
  • Tutorial 4 with solution
  • Practical 4 solution
  • Tutorial 5 with solution
  • Tutorial 6 with solution
  • Tutorial 7 with solution
  • Assignment 1 with solution
  • Tutorial 8 with solution
  • Practical 8 problems
  • Practical 8 solution
  • Assignment 2
  • Tutorial 9 with solution
  • Tutorial 10
  • Important announcements

  Information on computing:

• Introductory notes on R: Rintro.pdf

• If you are having problem running "process", try to reload with the following command:
• load(url("http://www.maths.usyd.edu.au/u/michaels/process.RData"))

• Information for both the R computing system and the process() utility for preparing weekly reports.

• Copies of the TeXLive2005 CD are available from room 826; this can be used so that process() works at home.

Data sets: protein.txt; uscr; canine1; canine2; canine4; canine5; suburb; suburbnames; sparrows;  
                  skulls; effluent; bac2.txt>; bac5.txt; usair.txt; diabetes cork

Tutorials, computer classes and assignments: