Module Identifier RS21810  
Academic Year 2000/2001  
Co-ordinator Dr Malcolm Leitch  
Semester Semester 1  
Assessment Exam   3 Hours   40%  
  Assignment     60%  

Aims of the module
To develop an appreciation of the role of statistical analysis in the interpretation of experimental data.
To develop skills in the use of a range of commonly used statistical techniques.

Learning outcomes
On completion of this module students will be able to:

i) identify appropriate methods of analysis for different types of data.

ii) demonstrate competence in data analysis using a range of statistical methods.

iii) draw suitable conclusions based on the results of data analysis.

Syllabus / Curriculum design
A practical course with short explanatory lectures. Content will vary to some extent in response to the specific needs of individual courses. Content includes probability, a description of the normal distribution, parametric tests based on samples drawn from normally distributed populations including t-test and one-way and multi-way ANOVA. Correlation and regression. Non-parametric methods will include chi-square analysis of frequencies, contingency tables, Mann-Whitney, Wilcoxon's matched pairs and Spearman Rank correlation. The Binomial, Poisson and negative binomial distributions and associated tests of dispersion will be described

Reading Lists
Fowler, J. (1998) Practical statistics for field biology. 2nd. Wiley