Research Philosophies and Statistics

This subject is not offered in 2014.

Eligibility for honours or postgraduate degree.

One introductory statistics subject at undergraduate level recommended before enrolling in this subject

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/

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 examination (50%), one integrated assignment of up to 3,500 words or equivalent (50%).

Biostatistical Analysis (JH Zar), 5th edn, 2008

This subject is not available as a breadth subject.

* A profound respect for truth, intellectual and professional integrity, and the ethics of scholarship

* Capacity for independent critical thought, rational inquiry and self-directed learning and research

* An ability to derive, interpret and analyse social, technical or economic information from primary and other sources

* Awareness of and ability to utilise appropriate communication technology and methods for the storage, management and analysis of data

* Capacity for creativity and innovation, through the application of skills and knowledge

* Ability to integrate information across a relevant discipline to solve problems in applied situations

* Highly developed computer - based skills to allow for effective on-line learning and communication.

* Highly developed written communication skills to allow informed dialogue with individuals and groups from industry, government and the community

* Highly developed oral communication skills to allow informed dialogue and liaison with individuals and groups from industry, government and the community.

* Ability to plan work, use time effectively and manage small projects