Students required to check the timetable for commencement date of this unit.
Please note results for this unit will not be available in time for August graduations.
This unit is an introduction to Quantative data analysis techniques. Covering topics from basic inference through o generalized linear models, time series analysis and clustering and discrimination, this subject gives students the opportunity to become familiar with a variety of statistical techniques. Students will improve their ability to recognise good experimental design, choose appropriate analysis techniques and learn the importance of meeting statistical assumptions when analysing data. The theoretical skills above will be reinforced with a large practical component in which student ill learn how to conduct analyses using the statistical program R.
|Unit name||Statistical Analysis Using R|
|Faculty/School||College of Sciences and Engineering
School of Natural Sciences
|Discipline||Mathematics & Physics|
Mrs M Humphries, A/Prof B Holland, Dr J Sumner, A/Prof M Charleston, Mr D Palmer, Dr Shane Reynolds
|Available as student elective?||Yes|
|Location||Study period||Attendance options||Available to|
|Hobart||Intensive Session Jun||On-Campus||International||Domestic|
- International students
- Domestic students
Please check you 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.
Special approval is required for enrolment into TNE Program units.
|Study Period||Start date||Census date||WW date||End date|
|Intensive Session Jun||25/6/2018||29/6/2018||5/7/2018||15/7/2018|
* 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.
Students must be enrolled in a PhD, Masters or Honours
On-campus component - 8 days (over 3 weeks) 2-3hr lecture & 2-3hr practical, self study before and after on-campus sessions.
2-3 assignments worth 100%
|Timetable||View the lecture timetable | View the full unit timetable|
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The University reserves the right to amend or remove courses and unit availabilities, as appropriate.