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|
|College/School||College of Sciences and Engineering
School of Natural Sciences
|Coordinator||Mr Damien Palmer|
|Available as an elective?||Yes|
|Delivered By||University of Tasmania|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
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|Study Period||Start date||Census date||WW date||End date|
* 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 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
- 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.
|Field of Education||Commencing Student Contribution 1,3||Grandfathered Student Contribution 1,3||Approved Pathway Course Student Contribution 2,3||Domestic Full Fee 4|
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Prerequisites(KMA253 - Data Handling and Statistics 2 OR KMA255 - Operations Research 2) AND KMA305 - Probability Models 3
3 x 1-hr lectures, 1 x 1-hr tutorial.
|Assessment||In-class test 1 (10%)|In-class test 2 (10%)|Final Examination (40%)|Assignment 1 (5%)|assignment 2 (5%)|Assignment 3 (5%)|Assignment 4 (5%)|Assignment 5 (5%)|Assignment 6 (5%)|Statistician's biography (10%)|
|Timetable||View the lecture timetable | View the full unit timetable|
Required readings will be listed in the unit outline prior to the start of classes.
|Links||Booktopia textbook finder|
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