STA508 Experimental Design and Analysis (PG) (8)

Proper experimental design and sampling is a prerequisite to the efficient and cost effective resolution of comparative quantitative research questions. This subject introduces experimental design based analysis and sampling techniques through the use of examples from research and professional settings. It also extends the basic methodology with applications. Students will gain experience in using software packages, and in evaluating and presenting results in the form of a standard statistical report as used in professional practice.

Subject Outlines
Current CSU students can view Subject Outlines for recent sessions. Please note that Subject Outlines and assessment tasks are updated each session.


Session 1 (30)
Wagga Wagga Campus

Continuing students should consult the SAL for current offering details: STA508. Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject Information

Grading System



One session


School of Computing and Mathematics

Enrolment Restrictions

Not available to students who have completed STA308

Assumed Knowledge

STA201 or  STA401 or equivalent

Subject Relationships

STA308 Covers similar content

Incompatible Subjects


Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to design, and check the design of, standard experiments reflective of professional practice;
  • be able to perform the analysis of such experiments using appropriate statistical protocols;
  • be able to communicate results and justify interpretations in terms of the original problem with logic and precision;
  • be able to evaluate and present results, with an integrated understanding of the underlying theory, in the form of a standard statistical report;
  • be able to critically test any assumptions underpinning the use of the linear model;
  • be able to demonstrate basic knowledge of survey methods and its application to a wide range of problems;
  • be able to perform design and analysis tasks on recognised software platforms.


This subject will cover the following topics:
  • Principles of experimental design.
  • Simple linear regression: review and extension.
  • Polynomial and multiple linear regression.
  • Principles of experimental design; including completely randomised designs, randomised block designs and Latin square designs.
  • Multiple comparison methods.
  • Diagnostic checking of the basic model.
  • The analysis of experiments with factorial treatment structures.
  • Analysis of variance.
  • Analysis of covariance.
  • Introduction to survey methods.
  • Statistical software.


Current Students

For any enquiries about subject selection or course structure please contact Student Central or or phone on 1800 275 278.

Prospective Students

For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 275 278 (free call within Australia) or enquire online.

The information contained in the 2018 CSU Handbook was accurate at the date of publication: August 2018. The University reserves the right to vary the information at any time without notice.