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PU5522: APPLIED STATISTICS (2023-2024)

Last modified: 23 Jul 2024 10:43


Course Overview

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. 

Course Details

Study Type Postgraduate Level 5
Term Second Term Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Neil Scott
  • Ms Yasin Al-Tawarah

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme (Studied)
  • One of MSc Clinical Pharmacology (Studied) or MSc Human Nutrition (Studied) or Any Postgraduate Programme Certificate in Research Methods for Health (Studied) or MSc Microbiology (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

– 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


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Descriptive Data Summary

Assessment Type Summative Weighting 10
Assessment Weeks 30 Feedback Weeks 32

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Feedback

The assessment is marked with a rubric covering different themes within the assessment, each theme is marked and the combined grade obtained.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Data Analysis

Assessment Type Summative Weighting 40
Assessment Weeks 34 Feedback Weeks 38

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Feedback

The assessment is marked with a rubric covering different themes within the assessment, each theme is marked and the combined grade obtained.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Class Test - Multiple Choice Questions

Assessment Type Summative Weighting 50
Assessment Weeks 39 Feedback Weeks 41

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Feedback

2.5 hour test through MyAberdeen. Each multiple choice question is set up to provide feedback to the student. This feedback is received once the test grades are released.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

There are no assessments for this course.

Resit Assessments

Report: Individual

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

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The assessment is marked with a rubric covering different themes within the assessment, each theme is marked and the combined grade obtained.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ReflectionAnalyseDemonstrate the ability to present and interpret results from statistical analyses appropriately

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ConceptualEvaluateDemonstrate the ability to critically appraise the use of commonly encountered statistical methods within the health related literature.
ProceduralApplyApply suitable statistical methods to answer research questions in a variety of contexts and study designs
ProceduralApplyApply the concept of statistical inference to health reserach
ProceduralApplyDevelop a working knowledge of statistical package for social sciences (SPSS) software for data management and analysis
ReflectionAnalyseDemonstrate the ability to present and interpret results from statistical analyses appropriately

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