Credit points: 15

Subject outline

Students will learn to design and analyse experiments in the life sciences and agriculture. The topics covered in this subject include a brief review of non-parametric methods; randomisation, blocking and randomised block designs; one-way and two-way layouts; multiple comparison procedures; fixed and random effects; mixed models; multiple linear regression; analysis of covariance; factorial designs; fractional factorial designs; and an introduction to cluster analysis. This subject makes use of the freely available software package R.

FacultyFaculty of Science, Tech & Engineering

Credit points15

Subject Co-ordinatorAndriy Olenko

Available to Study Abroad StudentsYes

Subject year levelYear Level 3 - UG

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites one of STA2ABS, STA2AMS, STA2MD, STA2AS, STA2BS, STA2MS


Incompatible subjects AGR41EXP, AGR4AED

Equivalent subjectsN/A

Special conditionsN/A

Learning resources


Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsBiostatistics with RRecommendedShahbaba, Babak 2012SPRINGER, AVAILABLE ONLINE IN LATROBE EBL EBOOK LIBRARY
ReadingsIntroduction to Linear Regression AnalysisRecommendedMontgomery, DC, Peck, EA and Vining, G 2006WILEY, 4TH EDITION.

Subject options

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Start date between: and    Key dates

Melbourne, 2014, Semester 1, Day


Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorAndriy Olenko

Class requirements

Practical Week: 10 - 22
One 2.0 hours practical per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Lecture Week: 10 - 22
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.


Assessment elementComments%
10 Assignments (approx. 200 words each)20
3-hour short answer Final Examination80