Courses & Units

Principles of Statistics 3 KMA356


A general introduction to Statistical Inference, topics include: foundations of statistics, point estimation and hypothesis testing, maximum likelihood estimation, likelihood ratio tests, Bayesian methods, sufficiency, consistency, general linear models and least squares, generalised linear models.


Unit name Principles of Statistics 3
Unit code KMA356
Credit points 12.5
College/School College of Sciences and Engineering
School of Natural Sciences
Discipline Mathematics
Coordinator Mr Damien Palmer
Available as an elective? Yes
Delivered By University of Tasmania
Level Advanced


Location Study period Attendance options Available to
Hobart Semester 2 On-Campus International Domestic


International students
Domestic students

Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.

Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

Key Dates

Study Period Start date Census date WW date End date
Semester 2 22/7/2024 16/8/2024 9/9/2024 27/10/2024

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2024 are indicative and subject to change. Finalised census dates for 2024 will be available from the 1st October 2023. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • 1. Understand the theory behind standard statistical practice.
  • 2. Recognise how the key issues in experimental design and statistical analysis are inter-related to theory.
  • 3. Apply theoretical statistics knowledge to scientific problems.
  • 4. Be able to extend statistical practice to non-standard situations.

Fee Information

The 2024 Commonwealth Supported Place (CSP) rates are still being finalised by the Government and we will update the domestic fee information as soon as we have more details.



(KMA253 - Data Handling and Statistics 2 OR KMA255 - Operations Research 2) AND KMA305 - Probability Models 3


Teaching Pattern

3 x 1-hr lectures, 1 x 1-hr tutorial.

AssessmentAssignment 1 (5%)|Assignment 3 (5%)|Assignment 4 (5%)|Assignment 5 (5%)|Assignment 6 (5%)|assignment 2 (5%)|In-class test 1 (10%)|In-class test 2 (10%)|Statistician's biography (10%)|Final Examination (40%)
TimetableView the lecture timetable | View the full unit timetable



Required readings will be listed in the unit outline prior to the start of classes.

LinksBooktopia textbook finder

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.