# DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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# Undergraduate Course: Statistical Consultancy (MATH10092)

 School School of Mathematics College College of Science and Engineering Credit level (Normal year taken) SCQF Level 10 (Year 4 Undergraduate) Availability Available to all students SCQF Credits 10 ECTS Credits 5 Summary This course builds on the material on linear models for continuous response variables that were considered in Linear Statistical Modelling (MATH10005) and generalised linear models introduced in Likelihood (MATH10004). More complex statistical models will be considered, such as, for example, models for repeated measures and non-linear regression models. Students attend computer practical sessions in which they learn about the statistical language R, and use R to plot and summarise data sets, to fit models to data and draw appropriate conclusions. Statistical reports will be written describing the statistical methods applied and the corresponding conclusions that can be drawn, in the form of a consultancy report. Students are encouraged to confer on their analyses of the data, but their reports should be their own work. Course description Course for Honours Degrees involving Statistics. The syllabus will change from year to year according to what other courses in Statistics are offered, but examples of sample topics are: 1. Two-way and three-way classifications, blocking, interaction 2. Models with categorical and continuous variables, analysis of covariance 3. Generalized linear models for example for binary and count data 4. Repeated measures, emphasising the use of summary statistics 5. Random effect models 6. Non-linear regression
 Pre-requisites Students MUST have passed: ( Linear Statistical Modelling (MATH10005) AND Likelihood (MATH10004)) OR Statistical Methodology (MATH10095) Co-requisites Prohibited Combinations Other requirements None
 Pre-requisites None High Demand Course? Yes
 Academic year 2017/18, Available to all students (SV1) Quota:  None Course Start Semester 1 Timetable Timetable Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 3, Supervised Practical/Workshop/Studio Hours 12, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 83 ) Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 % Feedback Not entered No Exam Information
 On completion of this course, the student will be able to: choose and apply appropriate statistical models and methods for a range of statistical problemsdemonstrate a working practical knowledge of the statistical package Rprepare typed reports of statistical analyses using LaTeX (or MS Word)demonstrate experience of working on statistical consultancy-style projects
 Venables, W. N. and Ripley, B. D., (2002). Modern Applied Statistics with S (4th edition). Springer. Crawley, M. J. (2012). The R Book (2nd edition). Wiley.
 Graduate Attributes and Skills Not entered Keywords STCon,Statistics
 Course organiser Dr Bruce Worton Tel: (0131 6)50 4884 Email: Bruce.Worton@ed.ac.uk Course secretary Mrs Alison Fairgrieve Tel: (0131 6)50 5045 Email: Alison.Fairgrieve@ed.ac.uk
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