|Semester 1 Credit Value:||10|
1.To introduce students to the principles of data analysis and experimental design and provide them with an introduction to statistics.
2. To show students how to describe and analyse data systematically.
3. To demonstrate to students how to formulate hypotheses and use data to evaluate those hypotheses.
Basic experimental design, hypothesis testing, descriptive statistics, distributions, elementary statistics, chi squared, Fisher exact, Wilcoxon, Wilcoxon-Mann Whitney, t tests, tests of association, nonparametric analyses, Introduction to statistical packages. Deciding how to choose a test.
Understanding of and ability to use basic descriptive statistics
Understanding of inferential versus correlational statistics and tests
Understanding of one factor experimental design.
Understanding of one factor statistical techniques
Understanding of and ability to use a range of parametric and nonparametric tests
1. Ability to choose appropirate statistical tests
2. Ability to use an Excel workbook to statistically analyse data
3. Ability to interpret the results of statistical testing
4. Ability to express the results of experiments succinctly and correctly
|Graduate Skills Framework Applicable:||Yes|
|Guided Independent Study||Assessment preparation and completion||1||20:00||20:00||N/A|
|Scheduled Learning And Teaching Activities||Lecture||10||1:00||10:00||N/A|
|Scheduled Learning And Teaching Activities||Practical||14||1:00||14:00||N/A|
|Guided Independent Study||Independent study||1||56:00||56:00||N/A|
Lectures introduce the concepts and methods
Statistical analysis is practiced over a series of computer-based practical classes using an Excel workbook for basic statistical analysis.
The format of resits will be determined by the Board of Examiners
|Written Examination||120||1||A||100||Class test.|
Tests directly the skills taught in the course, requiring students to choose, implement and interpret appropriate statistical tests for data analysis.
Disclaimer: The information contained within the Module Catalogue relates to the 2016/17 academic year. In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described. Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2017/18 entry will be published here in early-April 2017. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.