Module Identifier RSM0810  
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.


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:

Reading Lists

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