Last modified: 22 May 2019 17:07
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 |
| Co-ordinators |
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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.
3 x Multiple choice questionnaires (10% each); individual report (20%); individual report (50%).
There are no assessments for this course.
MCQs: Each question has feedback on wrong answers submitted and how to arrive at correct answer. feedback recieved once grades released, a few days after the due date.
Individual report: The assessment is marked with a rubric covering different themes within the assessment, each theme is marked and the combined grade
obtained. The student will get one or two sentences of feedback from the marker per theme. In addition the model answer will be posted on MyAberdeen.
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