Course Title: Design and Analysis of Experiments and Sampling Techniques

Part A: Course Overview

Course Title: Design and Analysis of Experiments and Sampling Techniques

Credit Points: 12.00

Course Code




Learning Mode

Teaching Period(s)


City Campus


145H Mathematical & Geospatial Sciences


Sem 2 2006,
Sem 2 2007,
Sem 2 2008,
Sem 2 2009

Course Coordinator: Professor Panlop Zeephongsekul

Course Coordinator Phone: +61 3 9925 3224

Course Coordinator Email:

Pre-requisite Courses and Assumed Knowledge and Capabilities

This course assumes knowledge of first and second year tertiary level statistics.
It would be an advantage, although not necessary, for you to have a good knowledge of statistical inference up to the level covered in the course MATH2155: Statistical Inference.

Course Description

This course deals with the concepts and various techniques used in the sampling and design and analysis of experiments.

Objectives/Learning Outcomes/Capability Development

At the conclusion of this course, you will:

  • be able to apply experimental design techniques in real world problems and in research;
  • be able to apply sampling techniques in real world problems and in research;
  • develop a deeper understanding of the theory which underlies the two disciplines;
  • be able to read and comprehend literature which utilises the two sets of techniques;
  • appreciate the relevance of both set of techniques and their extensive impacts on many fields of human endeavours.

Through a relatively in depth study of the different types of sampling techniques and experimental designs provided by this course, you will develop a good and comprehensive understanding of the pervasive influence and extensive applications these techniques have made on the real world.  No statistical analysis will be possible without the use of these techniques. Proper sampling and design procedures are essential in order to collect valid and relevant data which will allow you to draw the correct statistical evidence to support your hypothesis.

Overview of Learning Activities

Key concepts of sampling and design of experiments will be extensively covered in this course. These will be explained and elucidated with relevant class and computer laboratory examples. The assignments and/or project will test your understanding of class materials.

Overview of Learning Resources

Some material for this course will be provided by the lecturers. Other learning resouces are the prescribed texts and references which can be accessed from the libraries.

The Calts and Calegari Laboratories (Room 8.9.48 and Room 8.9.39) contain computers with state-of-the-art software such as SAS, SPSS, MINITAB, EXCEL etc. which you can use to analyse data from designed experiments.

Overview of Assessment

You will be assessed by a combination of assignments/project and a final examination.