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EXPERIMENTAL DESIGN

EIE3007 EXPERIMENTAL DESIGN
3 Credits

Pre-requisite EIA1006 Statistics II

Learning At the end of this course, the students are able to:
Outcomes
1. apply the basic principles in the design of experiments;
2. apply different experimental designs;
3. analyse the results of an experiment; and
4. draw valid conclusions from the analysis.

Synopsis This course exposes students to basic designs that are used in experiments as
well as related statistical analyses. These include tests for assumptions,
transformation, multiple comparisons and non-parametric tests. The topics also
cover factorial designs, which include blocking and confounding.

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References 1. Montgomery, D.C., (2009) Design and Analysis of Experiments. 7 ed. New
York: John Wiley.
2. Ryan, T.P., (2007). Modern Experimental Design, New York: Wiley-
Interscience.
3. Kuehl, R.O., (1994). Statistical Principles of Research Design and Analysis,
Belmont : Duxbury Press.
4. Petersen, (1985). R.G. Design and Analysis of Experiments. New York: Marcel
Dekker, Inc.,.

Soft Skills CT1, CT2, CT3
LL1, LL2
EM1, EM2

Assessment Continuous Assessment : 40%
Final Examination : 60%

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