SCIEN51220A (HAM)
Data Analysis and Experimental Design
15 Points
Staff
Convenor(s)
Andrew Barnes
4460
F.G.16B
andrew.barnes@waikato.ac.nz

Lecturer(s)
Angela McGaughran
5046
R.2.22
angela.mcgaughran@waikato.ac.nz

Conrad Pilditch
9393
R.2.21
conrad.pilditch@waikato.ac.nz

Librarian(s)
You can contact staff by:
 Calling +64 7 838 4466 select option 1, then enter the extension.

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 For extensions starting with 4: dial +64 7 838 extension.
 For extensions starting with 5: dial +64 7 858 extension.
 For extensions starting with 9: dial +64 7 837 extension.
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Paper Description
This paper covers methods for analysing data from scientific experiments and field studies using linear modelling techniques, with a general emphasis on biological and environmental sciences. The paper will provide students with the means to design testable experiments, select appropriate statistical models to analyse data from a range of scenarios, and to conduct these analyses and graphically present results using the R statistical software.
Paper Structure
Learning Outcomes
Students who successfully complete the paper should be able to:
Assessment
Assessment Components
The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam.
Required and Recommended Readings
Recommended Readings
Logan, M. (2010) Biostatistical Design and Analysis Using R: A Practical Guide. John Wiley & Sons, Inc.
Crawley, M.J. (2013)The R Book, Second Edition. John Wiley & Sons, Inc.
Ebooks are available from the library.
Online Support
Online support will be provided via Moodle, which is accessible to all students who are enrolled in the paper.
Workload
Linkages to Other Papers
Restriction(s)
Restricted papers: BIOL503