Module Information
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
| 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.
Aims
To develop skills in the use of a range of commonly used statistical techniques.
Content
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 TextFowler, J (1998) Practical statistics for field biology 2nd Wiley, New York Primo search
Notes
This module is at CQFW Level 5