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, statistical computing.
|Unit name||Principles of Statistics 3|
|Faculty/School||College of Sciences and Engineering
School of Natural Sciences
Mr D Palmer
|Available as student elective?||Yes|
|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 (see withdrawal dates explained for more information).
|Field of Education||Commencing Student Contribution 1||Grandfathered Student Contribution 1||Approved Pathway Course Student Contribution 2||Domestic Full Fee|
1 Please refer here more information on student contribution amounts.
2 Information on eligibility and Approved Pathway courses can be found here
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 this page to get an indicative course cost.
KMA253 or KMA255 and KMA305
3x1-hr lectures, 1-hr tutorial, some material will be delivered via video lectures.
3-hr exam (70%), assignments (30%)
|Timetable||View the lecture timetable | View the full unit timetable|
No required textbook
Booktopia textbook links
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