|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%|
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 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.
|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 ListGeneral Text
Fowler, J (1998) Practical statistics for field biology 2nd Wiley, New York Primo search
This module is at CQFW Level 5