ST7003 – Design and Analysis of Experiments

Module CodeST7003
Module Name Design and Analysis of Experiments
ECTS Weighting[1]10 ECTS
Semester taughtSemester 2
Module Coordinator/s  TBA

Module Learning Outcomes

On successful completion of this module, students will be able to:

  • Compare and contrast observational and experimental studies;
  • Describe and explain the roles of control, blocking, randomisation and replication in experimentation;
  • Explain the advantages of statistical designs for multifactor experiments;
  • Describe and explain the genesis of a range of basic experimental design structures; Implement and interpret the analysis of variance for a range of experimental designs;
  • Describe the models underlying the analysis of variance for a range of basic experimental designs;
  • Produce and interpret graphs for data summary and model diagnostics;
  • Provide outline descriptions of more elaborate designs and data analyses;
  • Outline strategic issues involved in the design and implementation of experiments;

Module Content

The need for experiments Experimental and observational studies Cause and effect Control Basic design principles for experiments Control Blocking (pairing) Randomisation Replication Factorial structure Standard designs Randomised blocks Two-level factors Multi-level factors Split units Analysis of experimental data Exploratory data analysis Effect estimation and significance testing Analysis of variance Statistical models, fixed and random effects Model validation, diagnostics Review topics Block structure and treatment structure Repeated measures Analysis of Covariance Clinical trials Response surface designs Robust designs Non-Normal errors Strategies for Experimentation.

Teaching and learning Methods

Lecture hours: 20

Lab hours: 4  

Assessment Details

Examination 3 hour written examination: 100%

Assessment ComponentBrief Description Learning Outcomes Addressed% of totalWeek setWeek Due

Reassessment Details

Examination (3 hours, 100%)

Contact Hours and Indicative Student Workload

Contact Hours (scheduled hours per student over full module), broken down by: 24 hours
Lecture20 hours
Laboratory4 hours
Tutorial or seminar0 hours
Other0 hours
Independent study (outside scheduled contact hours), broken down by:72  hours
Preparation for classes and review of material (including preparation for examination, if applicable0 hours
completion of assessments (including examination, if applicable)0 hours
Total Hours96 hours

Recommended Reading List

Core material: Mullins, E., Statistics for the Quality Control Chemistry Laboratory, Royal Society of Chemistry, 2003, particularly Chapters 4-5, 7-8.  

Suggested Text: Montgomery, D.C., Design and analysis of experiments, 8th ed., Wiley, 2013.

Alternative Text: Dean, Angela and Voss, Daniel, Design and analysis of experiments, Springer, 1999.

Recommended  Reading (not essential for examination purposes): Box, G.E.P, Hunter, J.S. and Hunter, W.G., Statistics for Experimenters, 2nd. ed., Wiley, 2005. Cox, D.R., Planning of Experiments, Wiley, 1958. Daniel, C., Applications of Statistics to Industrial Experimentation, Wiley, 1976. Fisher, R.A.,

The Design of Experiments, Oliver and Boyd, 1935, (8th ed. 1966). Mead, R., Gilmour, SG and Mead, A, Statistical Principles for the Design of Experiments: Applications to Real Experiments,  Cambridge University Press, 2012. Robinson, G.K., Practical Strategies for Experimenting, Wiley, 2000. Supplemental lectures notes available on course website.  

Module Pre-requisites

Prerequisite modules: Base module ST7001

Other/alternative non-module prerequisites:

Module Co-requisites


Module Website