Last modified: 28 Jun 2018 10:27
Applied statistics introduces students to statistical concepts involved in the appropriate design, analysis and interpretation of research in health settings, covering aspects of data types and presentation of data; probability; samples, distributions, statistical inference; hypothesis testing; univariate parametric and non-parametric methods and correlation with an introduction to regression.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Online | Sustained Study | No |
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The course contains the following topics: data types and presentation, probability, introduction statistical inference and hypothesis testing, hypothesis testing for continuous variables (parametric and non-parametric), hypothesis testing for categorical variables, measures of effect (odds ratio and risk ratio), correlation and simple linear regression, measures of agreement.
Information on contact teaching time is available from the course guide.
Assessment will be through three time-limited MCQs each 10% (30%), individual critical appraisal (20%) [written assignment 2500 words], main data analysis using SPSS (40%) [electronic submission], peer assessment of the main data analysis (5%), participation on discussion boards and collaborative sessions (5%).
There are no assessments for this course.
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