| Module Identifier |
RSM0810 |
| Module Title |
STATISTICS FOR EXPERIMENTAL SCIENTISTS |
| Academic Year |
2001/2002 |
| Co-ordinator |
Dr Mina Davies-Morel |
| Semester |
Semester 2 |
| Other staff |
Dr Malcolm Leitch, Ms Sylvia Lutkins |
| Assessment |
Assignment | | 40% |
| |
Continuous assessment | | 30% |
| |
Exam | 3 Hours 3 hour unseen open book written examination | 30% |
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.
Module outline
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.
Aims
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.
Learning outcomes
On completion of this module students will be able to:
-
identify appropriate methods of analysis for different types of data.
-
analyse data using a range of statistical analyses.
-
interprete the results of data analyses.
-
apply statistical knowledge in the content of postgraduate reserch.
Reading Lists
Books
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
Journals
Gill, L. (1978)
Design and analysis of experiments in the animal and medical sciences 3 vols.. State University Press, Iowa