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: Twenty-four hours of lectures and 36 hours of tutorials and practicals |
Total Time Commitment:
|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:||
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: email@example.com
CoordinatorDr Peter Ades
Graduate School of Science
Phone: 13 MELB (13 6352)
Dr Peter Ades firstname.lastname@example.org
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.
The aim of this unit is to assist students to develop an:
A 3-hour final examination (60%),
Four assignments, equivalent to 2000 words, due in Weeks 4, 6, 8 and 12 (40%).
|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|
Students should progressively acquire generic skills from this subject that will assist them in any future career path. These include
Graduate Diploma in Food Science |
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 Food Science
100 Point (B) Master of Agricultural Sciences |
150 Point Master of Agricultural Sciences
200 Point Master of Agricultural Sciences
Honours Program - Food Science
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