|Module Title||STATISTICS FOR EXPERIMENTAL SCIENTISTS|
|Co-ordinator||Dr Mina Davies-Morel|
|Other staff||Dr Malcolm Leitch, Ms Sylvia Lutkins|
|Assessment||Exam||3 Hours 3 hour unseen open book written examination||30%|
NB This module will be taught in two parts:-
Part 1 - Semester 1, is taught joint with undergraduates module RS21810. All the assessment associated with module is compulsory to all students, attendance at lectures/practicals is optional.
Part 2 - Semester 2, is taught exclusively to MSc students. Both assessment and attendance at lectures/practicals is compulsory.
This module aims to provide the student with:
An introduction to statistical ideas and logic involved in making inferences from experimental data. This will be applied to give an understanding of how to use a statistical computing package.
On completion of this module students will be able to:
Syllabus / Curriculum design
A practical course with short explanatory lectures and practical demonstration. The content will include probability, normal distribution, parametric tests including t-tests, one way and multi way ANOVA. Correlation and regression. Non parametric methods will include chi-square analysis of frequencies, contingency tables, Mann-Whitney U test, Spearman rank correlation. Computer packages will be used in practical/demo sessions to reinforce the lecture material. To some extent the exact course content will vary in response to student ability and need.
Mead, R; Curnow, R H & Hasted, A M. (1993) Statistical Methods in Agriculture and Experimental Biology. 2nd. Chapman and Hall, London
Campbell, R C. (1989) Statistics for Biologists. 3rd. Cambridge University Press, London
Daniel, W W. (1995) Biostatistics: A foundation for Analyses in the Health Sciences. 6th. Wiley, New York
Gill, L. (1978) Design and analysis of experiments in the animal and medical sciences 3 vols.. State University Press, Iowa