STAT40190 Experimental Design

Academic Year 2017/2018

Experimental design is a fundamental methodology in many areas of biological, environmental, medical and psychological science. This module builds on previous introductions to experimental design. It deals with the efficient design of experiments and the analysis of data from them. It includes description and discussion of Oneway Classification, Randomised block with and without replication within blocks, Latin square designs and extensions, Factorial, Split-Plot, Incomplete Block and Fractional Replication designs. There is a particular emphasis in the analysis of designs of parsimonious representations of treatment effects. The emphasis is on the value of experimental design as a practical tool rather than on the mathematical basis for design.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module students should be able to: Propose an appropriate experimental design to address a wide range of research questions. Analyse data from each of these designs. Prepare a report of the analysis for a non-statistical client. Select from a range of tools to develop a more parsimonious description of the data

Student Effort Hours: 
Student Effort Type Hours
Lectures

24

Tutorial

6

Computer Aided Lab

6

Autonomous Student Learning

130

Total

166

 
Requirements, Exclusions and Recommendations
Learning Requirements:

Knowledge of concepts hypothesis tests and confidence intervals. Knowledge of 1-sample problem, 2-sample problem and ANOVA for normal data. Comparison of proportions. Knowledge of linear regression.



Module Requisites and Incompatibles
Incompatibles:
Design of Experiments (STAT40110)

 
Description % of Final Grade Timing
Examination: < Description >

80

2 hour End of Trimester Exam
Continuous Assessment: Approx. 8 assignments

20

Varies over the Trimester

Compensation

This module is not passable by compensation

Resit Opportunities

End of Semester Exam

Remediation

If you fail this module you may resit