Research Methods For Life Sciences

Subject AGRI90075 (2014)

Note: This is an archived Handbook entry from 2014.

Credit Points: 12.50
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject is not offered in 2014.

Time Commitment: Contact Hours: Twenty-four hours of lectures and 36 hours of tutorials and practicals
Total Time Commitment:

120 hours

Prerequisites: None
Corequisites: None
Recommended Background Knowledge:

Students who have not taken any statistical analysis subjects at a tertiary level are advised to take Research Methods for Life Sciences as an introduction to statistical analysis.

Non Allowed Subjects:

Students who have completed statistical analysis subjects at a tertiary level are advised not to take Research Methods for Life Sciences. Students should select Research Philosophies and Statistics or Social Research Methods as alternatives.

Core Participation Requirements:



Melbourne School of Land & Environment Student Centre
Ground Floor, Melbourne School of Land & Environment (building 142)

Phone: 13 MELB (13 6352)

Subject Overview:

This subject provides students with an introduction to a number of statistical techniques which are frequently used in agriculture, science and business situations. Course content will be set within the context of practical problems. Technology will be used to support statistical calculations.

It is designed for students with little or no background in statistics.

Topics include an introduction to sampling techniques and experimental design; descriptive treatment of sample data; introduction to elementary probability and distributions; estimation and hypothesis testing of means and proportions; the chi-square distribution; simple and multiple regression and correlation; one-factor and two-factor analysis of variance; and use of statistical computer packages.

Learning Outcomes:

The aim of this unit is to assist students to develop an:
• Introduction to statistical analysis
• Understanding of the process of statistical analysis
• Introduction to the use of statistical analysis in postgraduate research
• Ability to select appropriate methodological frameworks and to match research tools to these approaches


A 3-hour final examination (60%), a mid-semester test in Week 6 (10%), and three assignments, each equivalent to 1000 words, due in Weeks 4, 8 and 12 (30%).

Prescribed Texts:

Essential Statistics (D G Rees), 4th edn, Chapman and Hall, 2001

Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:

Students should progressively acquire generic skills from this subject that will assist them in any future career path. These include
• problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
• analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
• time management skills: the ability to meet regular deadlines while balancing competing commitments.

Related Course(s): Master of Agricultural Science
Master of Animal Science
Master of Food Science
Master of Forest Ecosystem Science
Master of Science (Geography)
Master of Urban Horticulture
Postgraduate Diploma in Agricultural Science
Postgraduate Diploma in Animal Science
Postgraduate Diploma in Food Science

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