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PU5522: APPLIED STATISTICS (2017-2018)

Last modified: 27 Feb 2018 14:17


Course Overview

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.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Online Sustained Study No
Co-ordinators
  • Dr Shona Fielding

Qualification Prerequisites

None.

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

  • Any Postgraduate Programme (Studied)
  • Either MSc Human Nutrition (Studied) or Any Postgraduate Programme Certificate in Research Methods for Health (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

  • PU5017 Applied Statistics (Passed)

Are there a limited number of places available?

No

Course Description

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.  


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


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

Assessment will be through three time-limited MCQs each 10% (30%), individual critical appraisal (20%) [written assignment 2500 words], main data analysis using SPSS (40%) [electronic submission], peer assessment of the main data analysis (5%), participation on discussion boards and collaborative sessions (5%).

Formative Assessment

There are no assessments for this course.

Feedback

None.

Course Learning Outcomes

None.

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