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PU5522: APPLIED STATISTICS (2021-2022)

Last modified: 31 May 2022 13:05


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 27, which can be used to implement all the methods taught on this course.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Neil Scott
  • Dr Mary Kynn

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

  • 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)
  • Any Postgraduate Programme (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 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

3 x Multiple Choice Assessments (10%, 20%, 10%)

Data Analysis (structured report) (60%)

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

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

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