Last modified: 01 Jul 2025 12:46
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, which can be used to implement all the methods taught on the 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
| Assessment Type | Summative | Weighting | 50 | |
|---|---|---|---|---|
| Assessment Weeks | 38 | Feedback Weeks | 39 | |
| Feedback |
Two-hour test through MyAberdeen. Feedback is not supplied at the time of submission but is offered later on an individual basis. |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | Apply the concept of statistical inference to health research. |
| Procedural | Apply | Apply suitable statistical methods to answer research questions in a variety of contexts and study designs. |
| Reflection | Analyse | Demonstrate the ability to present and interpret results from statistical analyses appropriately. |
| Assessment Type | Summative | Weighting | 10 | |
|---|---|---|---|---|
| Assessment Weeks | 30 | Feedback Weeks | 32 | |
| Feedback |
The assessment is marked with a rubric covering different themes within the assessment, each theme is marked and the combined grade obtained. |
|||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | Demonstrate a working knowledge of a statistical software package for data management and analysis. |
| Reflection | Analyse | Demonstrate the ability to present and interpret results from statistical analyses appropriately. |
| Assessment Type | Summative | Weighting | 40 | |
|---|---|---|---|---|
| Assessment Weeks | 34 | Feedback Weeks | 38 | |
| Feedback |
The assessment is marked with a rubric covering different themes within the assessment, each theme is marked and the combined grade obtained. |
|||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | Demonstrate a working knowledge of a statistical software package for data management and analysis. |
| Procedural | Apply | Apply the concept of statistical inference to health research. |
| Procedural | Apply | Apply suitable statistical methods to answer research questions in a variety of contexts and study designs. |
| Reflection | Analyse | Demonstrate the ability to present and interpret results from statistical analyses appropriately. |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
The assessment is marked with a rubric covering different themes within the assessment, each theme is marked and the combined grade obtained. |
|||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Reflection | Analyse | Demonstrate the ability to present and interpret results from statistical analyses appropriately. |
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Reflection | Analyse | Demonstrate the ability to present and interpret results from statistical analyses appropriately. |
| Procedural | Apply | Apply the concept of statistical inference to health research. |
| Procedural | Apply | Apply suitable statistical methods to answer research questions in a variety of contexts and study designs. |
| Procedural | Apply | Demonstrate a working knowledge of a statistical software package for data management and analysis. |
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