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The University of Southampton

MEDI6228 Introduction to Statistics and SPSS

Module Overview

This module provides an introduction to the use of statistical methods for the analysis of quantitative data and their application in public health. This will include descriptive statistics and basic inferential statistics. The emphasis will be on the practical application of statistical methods and the interpretation of results using the statistical software SPSS. In addition to teaching you when and how to apply which quantitative analytical techniques when carrying out research or evaluating a programme, it will enable you to interpret your own results and those reported by others.

Aims and Objectives

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • Differentiate between the various types of data and be able to report data summaries using the most appropriate approach.
  • Understand and construct different data presentation and summary approaches.
  • Recall the differences between various statistical techniques, know when to apply them, justify the choice of technique and be able to summarise the results.
Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

  • Apply the concept of a statistical hypothesis test and be able to interpret the related effect size, confidence interval and P value.
  • Choose between and apply different statistical techniques to analyse data.
  • Present quantitative research findings appropriately.
Transferable and Generic Skills

Having successfully completed this module you will be able to:

  • Use the IBM SPSS software package to set up a database, enter data, create and manipulate variables, analyse data using the most appropriate tests and explain the results in the context of their relevance to public health, including description of relevant statistics and tabulation/graphical display of the data.


- Types of quantitative data, descriptive statistics and graphical presentation. - Sampling from a population - Hypothesis testing and confidence intervals - Analysing continuous and categorical data - Correlation - Linear and logistic regression - Sample size - Standardisation (z-score) - Data handling manipulation and statistical analysis in SPSS

Learning and Teaching

Teaching and learning methods

A variety of methods are used including lectures, reference to online resources, interactive tools for learning and self-assessment, SPSS computer demonstrations and practical SPSS exercises using computers. Delivery through MS Teams/Blackboard Collaborate.

Independent Study72
Total study time100

Resources & Reading list

Petrie A, Sabin C. (2009). Medical statistics at a glance. 

Altman DG. (1990). Practical statistics for medical research. 

Campbell MJ, Machin D, Walters SJ. (2007). Medical statistics: A textbook for the health sciences. 

Bland M. (2015). An introduction to medical research. 

Foster L, Diamond I, Jefferies J (2014). Beginning statistics: an introduction for social scientists. 

Kirkwood BR, Sterne AC. (2003). Essential medical statistics. 


Assessment Strategy

The assessment includes both formative and summative elements. There is one summative assessment: a data analysis report and two formative assessments: i) additional SPSS exercises and ii) online MCQ quiz. The pass mark for the summative written data analysis report and the module is 50%. The pass mark for the formative online MCQ quiz is set at 90%. You must pass the online MCQ quiz by achieving the pass mark or more to pass the module. If you fail the MCQ quiz you are allowed to take it again until you pass. The additional SPSS exercises are formative self-directed coursework to be completed within the semester study time. If you fail the module, you will have the opportunity to submit work at the next referral (re-sit) opportunity. On passing your referral, your final module mark will be capped at 50%.


Multiple choice question


MethodPercentage contribution
Written report  (1500 words) 100%


MethodPercentage contribution
Written report  (1500 words) 100%

Repeat Information

Repeat type: Internal & External

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