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Handbook 1997 : Faculty of Agriculture, Forestry and Horticulture : Forestry

211-106 Biometry (Forestry Course)

Credit Points:

18.75

Coordinator:

Dr M P Ng

Timetable:

All Year

Contact:

52 hours of lectures and 50 hours of practical work

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, recognise 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 X2distributions. 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 1997 : Faculty of Agriculture, Forestry and Horticulture : Forestry 
Status:                   OFFICIAL 1997
Last Modified:            Wednesday March 12 3:36 pm
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Authorised by:            Academic Registrar
Email Enquiries:          Course_Information@registrar.unimelb.edu.au
Copyright © University of Melbourne 1997.