Handbook 1996 : Faculty of Agriculture, Forestry and Horticulture (Volume 4 page 21)
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Year 1 Forestry.
Credit points: 18.75
Coordinator: Dr M P Ng
Contact: 52 hours of lectures and 50 hours of practical work.
Timetable: Double semester.
Objectives:
Upon completion of this subject, the student should: comprehend the fundamental concepts of confidence interval and hypothesis test, and the basic principles of experimental design; have developed skills to carry out simple exploratory data analysis, recognize basic experimental designs and apply standard statistical analysis; appreciate the application of computer software in statistical analysis.
Content:
Elementary descriptive statistics. Basic probability theory. Random variables and their basic properties. Standard probability distributions: Binomial, Poisson, uniform, normal. The Central Limit Theorem. Point and interval estimation of parameters of probability distributions. Hypothesis testing: critical region, size and power. Applications of the normal, t and X2 distributions. Linear regression and an introduction to multiple regression. Analysis of variance and the Kruskal-Wallis test. Design of experiments: one- and two-way classification, factorial designs, analysis of residuals. Use of the computer in statistical analysis, with special reference to the statistical package MINITAB.
Assessment:
A 2-hour examination at the end of Semester 1 and a 3-hour examination at the end of Semester 2. Up to six assignments per semester will also be assessed.
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Handbook 1996 : Faculty of Agriculture, Forestry and Horticulture (Volume 4 page 21)
Status: Official 1996 Date created: Oct 9 1995 Last modified: Oct 9 1995 Authorised by: Academic Registrar Email enquiries: Course_Information@registrar.unimelb.edu.au
Maintained by: School of Forestry, Faculty of Agriculture, Forestry and Horticulture.
Copyright © University of Melbourne 1995,1996.