Design & Analysis of Experiments (AGRC7501)
Information valid for Semester 2, 2021
Course level
Postgraduate Coursework
Faculty
School
Agriculture Food Sciences Schl
Units
2
Duration
One Semester
Delivery mode
External
Class hours
2 Lecture hours
3 Tutorial hours
Incompatible
AGRC3702
Prerequisite
STAT1201 or equivalent
Recommended prerequisite
General Mathematics
Assessment methods
Tutorial Exercise (15%)
Online Quiz (5%)
Project Plan (20%)
Project Report (20%)
Computer-based Assessment (40%)
Course enquiries
Course description
The course will cover the principles of design of controlled experiments, including replications, randomisation, and reduction of experimental error in agricultural-related disciplines. The course will include analysis of variance (ANOVA) for completely randomised design, simple blocking designs, factorial designs, split-plot and nested designs. Other advanced topics such as unbalanced designs, repeated measures and missing values may be covered. Introduction to statistical packages and computer exercises will be given. On the completion of this course, students are expected to be able to design a simple experiment, analyse the data, interpret the outputs and present the analysis result.