8393 (v.9) Experimental Design and Analysis 202

Area:	Department of Mathematics and Statistics
Credits:	25.0
Contact Hours:	4.0
The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline.
Lecture:	3 x 1 Hours Weekly
Laboratory:	1 x 1 Hours Weekly
Prerequisite(s):	307590 (v.2) Statistical Data Analysis 101 or any previous version AND 310532 (v.1) Statistical Data Analysis 102 or any previous version
Syllabus:	Introduction to principles and procedures of experimental designs. Concept of Analysis of Variance (ANOVA) and multiple comparisons. Systematic discussion of basic designs (completely randomised designs, randomised block designs, Latin square designs) from point of view of blocking, error reduction and treatment structure. Factorial design, 2k factorial designs, confounding and fractional factorial designs, general factorial designs, Analysis of co-variance. Response surface methodology and optimal designs. Analysis of experiments via SPSS/R/SAS.
To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement.
Field of Education:	010103 Statistics
SOLT (Online) Definitions*:	Essential *Extent to which this unit or thesis utilises online information
Result Type:	Grade/Mark

Availability

Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information.