Note: This is an archived Handbook entry from 2015.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2015:Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 24 hours of lectures, 24 hours of tutorials (4 hours per week) |
Total Time Commitment:
|Recommended Background Knowledge:|| |
One introductory statistics subject at undergraduate level recommended before enrolling in this subject
|Non Allowed Subjects:||None|
|Core Participation Requirements:||
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. This course requires all students to enrol in subjects where they must actively and safely contribute to field excursions and laboratory activities. Students who feel their disability will impact on meeting this requirement are encouraged to discuss this matter with the Subject Coordinator and Disability Liaison http://services.unimelb.edu.au/disability/ students email: firstname.lastname@example.org
CoordinatorDr Peter Ades, Prof Roger Cousens
Graduate School of Science
Phone: 13 MELB (13 6352)
Dr Peter Ades email@example.com
Prof Roger Cousens firstname.lastname@example.org
This subject should give students knowledge of a range of research methodologies and underlying philosophies, and sophisticated statistical tools to design laboratory and field experiments and field surveys, and effectively and appropriately analyse these data sets in agriculture, horticulture and land management. Upon completion of the subject, students should be able to: formulate research questions and hypotheses, and implement hypotheses testing, to satisfy research needs in different disciplines, including field research and economics; recognise, understand and apply concepts of study design (such as observational studies versus designed experiments, confounding, replication, randomisation, and blocking), and discuss the effect of design concepts on the interpretation of results; determine the appropriate statistical methodology to use, including parametric and non-parametric methods, and confirm that data sets meet the underlying assumptions of the statistical model chosen; display an understanding of the purpose and limitation of inference, and be able to use the main tools of inference to analyse and interpret data; and interpret statistical program outputs in agricultural, horticultural and land management contexts.
The objectives of this subject are to provide students with:
• a basic understanding of how to ask and answer questions in experimental biology
• familiarity with the kinds of data generated in biological and environmental research;
• skills to design efficient sampling programs and experiments in biological science;
• an understanding of the statistical models and analyses that can be applied to different kinds of biological data;
• be able to interpret and present results of statistical analyses.
|Prescribed Texts:|| |
Information Not Available
|Recommended Texts:|| |
Biostatistical Analysis (JH Zar), 5th edn, 2008
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Graduate Diploma in Food Science |
Graduate Diploma in Urban Horticulture
Master of Agricultural Science
Master of Animal Science
Master of Food Science
Master of Forest Ecosystem Science
Master of Urban Horticulture
Postgraduate Diploma in Agricultural Science
Postgraduate Diploma in Food Science
100 Point (B) Master of Agricultural Sciences |
150 Point Master of Agricultural Sciences
200 Point Master of Agricultural Sciences
Download PDF version.