Credit points: 15
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
Subject Co-ordinatorAndriy Olenko
Available to Study Abroad StudentsYes
Subject year levelYear Level 3 - UG
Prerequisites one of STA2ABS, STA2AMS, STA2MD, STA2AS, STA2BS, STA2MS
Incompatible subjects AGR41EXP, AGR4AED
|Resource Type||Title||Resource Requirement||Author and Year||Publisher|
|Readings||Biostatistics with R||Recommended||Shahbaba, Babak 2012||SPRINGER, AVAILABLE ONLINE IN LATROBE EBL EBOOK LIBRARY|
|Readings||Introduction to Linear Regression Analysis||Recommended||Montgomery, DC, Peck, EA and Vining, G 2006||WILEY, 4TH EDITION.|
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Melbourne, 2014, Semester 1, Day
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorAndriy Olenko
One 2.0 hours practical per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
|10 Assignments (approx. 200 words each)||20|
|3-hour short answer Final Examination||80|