Module Information

Module Identifier
Module Title
Academic Year
Semester 1

Course Delivery

Delivery Type Delivery length / details
Lecture 1 x 2 hour combined lecture/workshops per week
Lecture 1 x 1 hour lecture per week


Assessment Type Assessment length / details Proportion
Semester Assessment Assignment  Outcomes assessed: 1, 2, 3  60%
Semester Exam 3 Hours   3-hour written examination  Outcomes assessed: 1, 2, 3  40%
Supplementary Exam 3 Hours   100%

Learning Outcomes

On completion of this module students will be able to:

1. Identify appropriate methods of analysis for different types of data.

2. Demonstrate competence in data analysis using a range of statistical methods.

3. Draw suitable conclusions based on the results of data analysis.


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.


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 and Spearman Rank correlation.

Module Skills

Skills Type Skills details
Application of Number The module requires students to analyse and interpret data using a range of statistical methods.
Improving own Learning and Performance Students are responsible for meeting deadlines in presentation of practical exercises

Reading List

General Text
Fowler, J (1998) Practical statistics for field biology 2nd Wiley, New York Primo search


This module is at CQFW Level 5