Design and analysis
4 points * First semester * Clayton * Prerequisites: MAT2020, MAS2011, MAS2032, MAS2042
Objectives On completion of this subject students should know how to design a wide variety of experiments in which both qualitative factors are involved; understand the principles of confounding with blocks; know how to analyse treatment effects into orthogonal contrasts.
Synopsis The following designs will be described and the associated analysis of variance studied: One-way classification. Randomised complete block. Two-way cross-classification. 2n factorial designs. Analysis of covariance. Confounding, partial confounding, contrasts.
Assessment Examinations (1.5 hours): 90% * Tests and/or assignments: 10%
Recommended texts
Cochran W G and Cox G M Experimental designs 2nd edn, Wiley, 1962
Hicks C R Fundamental concepts in the design of experiments Holt, Rinehart and Winston, 1983
Kempthorne O The design and analysis of experiments Wiley, 1967
Maxwell S E and Delaney H D Designing experiments and analysing data Wadsworth, 1990
Montgomery D C Design and analysis of experiments Wiley, 1984
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