Applied Statistical Modelling 2 - MA6512

Location Term Level Credits (ECTS) Current Convenor 2019-20
Canterbury Spring
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6 15 (7.5) DR D Cole

Pre-requisites

Pre-requisite: MAST4009 (Probability), MAST4011 (Statistics), MAST5001 (Applied Statistical Modelling 1)
Co-requisite: None

Restrictions

None

2019-20

Overview

This is a practical module to develop the skills required by a professional statistician (report writing, consultancy, presentation, wider appreciation of assumptions underlying methods, selection and application of analysis method, researching methods).
Software: R, SPSS and Excel (where appropriate/possible). Report writing in Word. PowerPoint for presentations.
• Presentation of data
• Report writing and presentation skills
• Hypothesis testing: formulating questions, converting to hypotheses, parametric and non-parametric methods and their assumptions, selection of appropriate method, application and reporting. Use of resources to explore and apply additional tests. Parametric and non-parametric tests include, but are not limited to, t-tests, likelihood ratio tests, score tests, Wald test, chi-squared tests, Mann Whitney U-test, Wilcoxon signed rank test, McNemar's test.
• Linear and Generalised Linear Models: simple linear and multiple regression, ANOVA and ANCOVA, understanding the limitations of linear regression, generalised linear models, selecting the appropriate distribution for the data set, understanding the difference between fixed and random effects, fitting models with random effects, model selection.
• Consultancy skills: group work exercise(s)

Details

This module appears in:


Contact hours

36 hours

Method of assessment

50% examination, 50% coursework

Indicative reading

Chatfield, C. (1995). Problem Solving: a Statistician's Guide. Second edition. London: Chapman & Hall.
Cox, D.R. & Snell, E.J. (1981). Applied Statistics: Principles and Examples. London: Chapman & Hall.
Dobson, A.J. & Barnett, A. (2008). An Introduction to Generalized Linear Models. Third edition. London: Chapman & Hall.
Hand, D.J. & Everitt, B.S. (1987). The Statistical Consultant in Action.
Sprent, P. & Smeeton, N.C. (2007). Applied Nonparametric Statistical Methods. Fourth edition. London: Chapman & Hall.

See the library reading list for this module (Canterbury)

Learning outcomes

The intended subject specific learning outcomes:
On successfully completing the module students will be able to:
1 demonstrate systematic understanding of and a reasonable level of skill in the professional skills required by a practising statistician;
2 demonstrate the capability to deploy established approaches accurately to analyse and solve problems using a reasonable level of skill in calculation and manipulation of the material in the following areas: data presentation, hypothesis testing, linear and generalised linear models;
3 apply key aspects of practical data analysis and reporting in well-defined contexts, showing judgement in the selection and application of tools and techniques;
4 show judgement in the selection and application of statistical analysis techniques using a range of statistical software, e.g. R, SPSS and Excel.

The intended generic learning outcomes:
On successfully completing the module students will be able to:
1 manage their own learning and make use of appropriate resources;
2 understand logical arguments, identifying the assumptions made and the conclusions drawn;
3 communicate straightforward arguments and conclusions reasonably accurately and clearly;
4 manage their time and use their organisational skills to plan and implement efficient and effective modes of working;
5 solve problems relating to qualitative and quantitative information;
6 make competent use of information technology skills such as word-processing and spreadsheet use, online resources (Moodle), internet communication;
7 communicate technical and non-technical material competently;
8 demonstrate an increased level of skill in numeracy and computation;
9 demonstrate the acquisition of the study skills needed for continuing professional development;
10 give an oral presentation;
11 work effectively as a member of a team.

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