Postgraduate Course: Taming Statistics (BIME11021)
Course Outline
| School | Deanery of Biomedical Sciences |
College | College of Medicine and Veterinary Medicine |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course will provide an overview of data collection, analysis and presentation for research and education purposes, drawing on illustrative examples from wildlife and ecosystem scenarios. Although the emphasis will be on the non-mathematical understanding of statistics and the interpretation of numerical results, some examples will require calculation and the use of statistical software. In addition to providing a general overview of statistical concepts, this course will provide students with some of the basic statistical tools necessary to conduct research. It is emphasised that this course is not designed to teach students how to perform complex statistical analysis or advanced techniques. |
| Course description |
Not entered
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Understand the concepts and principles behind the collection, analysis and presentation of numerical data
- Be aware of the limitations of statistical testing and how to recognise and, where necessary, avoid common pitfalls
- Be able to apply basic statistical testing to example data sets and know how to extend these for personal research purposes
- Be aware of how to interpret statistical results in the published literature
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Kim Picozzi
Tel: (0131 6)50 6257
Email: Kim.Picozzi@ed.ac.uk |
Course secretary | Miss Lauren Sandford
Tel: (0131 6)51 5470
Email: Lauren.Sandford@ed.ac.uk |
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