Design and Analysis of Experiments (AGRC3702)
Information valid for Semester 2, 2017
Course level
Undergraduate
Faculty
School
Agriculture Food Sciences Schl
Units
2
Duration
One Semester
Delivery mode
Internal
Class hours
2 Lecture hours
3 Tutorial hours
Prerequisite
STAT1201 or equivalent
Recommended prerequisite
MATH1050 or equivalent
Assessment methods
Continuous assessment, tailored course project
Course enquiries
Course description
The course will cover the principles of design of controlled experiments, including replication, randomisation, reduction of experimental error in agricultural related disciplines. Methods for analysis of variance with one and two levels of randomisation, regression and model fitting. Other topics include ANOVAs with blocking, factorial designs, Latin Square, Split plot, Split-Split-Plot, unbalanced designs. Repeated measures, introductory longitudinal analysis, response surface models and multivariate regression methods may be covered. Practical issues such as missing values and imputation will be covered. Introduction to statistical packages and computer exercises will be given in mostly R and RStudio (2015, The R Foundation for Statistical Computing). Other statistical software packages may be used on occasions for demonstration purposes such as SPSS (IBM SPSS) or SAS (SAS Institute, Cary, NC).