Design and Analysis of Experiments (AGRC3702)
Information valid for Semester 2, 2020
Course level
Undergraduate
Faculty
School
Agriculture Food Sciences Schl
Units
2
Duration
One Semester
Delivery mode
Flexible Delivery
Class hours
2 Lecture hours
3 Tutorial hours
Prerequisite
STAT1201 or equivalent
Recommended prerequisite
MATH1050 or equivalent
Assessment methods
Online Quiz, Presentations and final examination
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.