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
|Discipline||Mathematics & Physics|
Mr D Palmer
|Available as student elective?||Yes|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
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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.
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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).
Unit census dates currently displaying for 2018 are indicative and subject to change. Finalised census dates for 2018 will be available from the 1st October 2017.
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2018: $1,148.00||2018: $2,243.00||010103|
Fees for next year will be published in October. The fees above only apply for the year shown.
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
Co-op Bookshop links
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.