Note: This is an archived Handbook entry from 2014.
|Dates & Locations:|| |
This subject is not offered in 2014.
|Time Commitment:||Contact Hours: 24 hours of lectures, 24 hours of tutorials (4 hours per week) |
Total Time Commitment: Not available
Eligibility for honours or postgraduate degree
|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 steps to minimise the impact of disability upon
Melbourne School of Land & Environment Student Centre
Ground Floor, Melbourne School of Land & Environment (building 142)
Phone: 13 MELB (13 6352)
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.
A 2-hour end of semester examination (50%), one integrated assignment of up to 3,500 words or equivalent (50%)
|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 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 Animal Science
Postgraduate Diploma in Food Science
Tailored Specialisation |
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