Statistical Analysis Using R unit (KMA711)

Hobart

Introduction

Statistics is the science of decision making and forms a key foundation of scientific research. This unit will present to postgraduate students, that are early in their research studies, a broad range of applied quantitative data analysis techniques. Students will learn aspects of collecting, processing, analysing, and presenting, quantitative information. Topics include: experimental design, data exploration and presentation, fitting linear models and their extensions (e.g., generalised linear modelling, and mixed effects modelling), model selection, Bayesian methods, and model inference. Students will gain hands-on experience conducting statistical analyses using the R programming language within the RStudio environment, including the use of R Markdown for promoting reproducible research. Examples will be drawn from the biological, physical and social sciences. Students will benefit by having taken an introductory statistics unit as part of an earlier degree.

Summary

Unit name	Statistical Analysis Using R
Unit code	KMA711
Credit points	12.5
College/School	Sciences and Engineering School of Natural Sciences
Discipline	Mathematics
Coordinator	Doctor Shane Richards
Delivered By	University of Tasmania
Level	Postgraduate

Availability

Location	Study period	Attendance options		Available to
Hobart	Winter

Note

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Key Dates

Study Period	Start date	Census date	WW date	End date
Winter	14/6/2026	22/6/2026	24/6/2026	4/7/2026

* 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 2026 are indicative and subject to change. Finalised census dates for 2026 will be available from the 1st October 2025. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

• Determine appropriate statistical analyses given the data at hand and the research question posed.
• Conduct statistical analyses using the computer software R, RStudio, and R markdown.
• Assess the validity of the statistical analyses using graphical and advanced techniques.
• Interpret and present statistical results in a written format appropriate for a scientific publication.

Fee Information

Field of Education	Commencing Student Contribution 1,3	Grandfathered Student Contribution 1,3	Approved Pathway Course Student Contribution 2,3	Domestic Full Fee 4
010103	$592.00	$592.00	not applicable	$2,919.00

• Available as a Commonwealth Supported Place
• HECS-HELP is available on this unit, depending on your eligibility³
• FEE-HELP is available on this unit, depending on your eligibility⁴

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 UniConnect 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.

Requisites

Mutual Exclusions

You cannot enrol in this unit as well as the following:

KMA353

Teaching

Teaching Pattern	2 week x Monday, Tuesday, Thursday, and Friday lectorial sessions
Assessment	Report (40%)|Portfolio (60%)
Timetable	View the lecture timetable | View the full unit timetable

Textbooks

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

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