Last modified: 31 May 2022 13:05
This course in Applied Statistics intends to focus on the application of statistical techniques in postgraduate research for health professionals, with a particular emphasis on the correct interpretation of statistical analyses. The course will NOT concentrate on the statistical theory underlying the subject. An important component of the course is the use of a statistical package, IBM SPSS Statistics 27, which can be used to implement all the methods taught on this course.
Study Type | Postgraduate | Level | 5 |
---|---|---|---|
Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | Aberdeen | Sustained Study | No |
Co-ordinators |
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– Graphs, summarising data and data checking
– Probability
– Introduction to statistical inference and hypothesis testing
– Hypothesis testing for continuous data
– Analysis of variance (ANOVA)
– Non-parametric tests
– Hypothesis tests for categorical data
– Relative risk and odds ratio
– Correlation and measures of agreement
– Regression
3 x Multiple Choice Assessments (10%, 20%, 10%)
Data Analysis (structured report) (60%)
There are no assessments for this course.
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
Procedural | Apply | Apply suitable statistical methods to answer research questions in a variety of contexts and study designs |
Conceptual | Evaluate | Demonstrate the ability to critically appraise the use of commonly encountered statistical methods within the health related literature. |
Reflection | Analyse | Demonstrate the ability to present and interpret results from statistical analyses appropriately |
Procedural | Apply | Develop a working knowledge of statistical package for social sciences (SPSS) software for data management and analysis |
Procedural | Apply | Apply the concept of statistical inference to health reserach |
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