Undergraduate Course: Statistical Consultancy (MATH10092)
Course Outline
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. More complex statistical models will be considered, such as, for example, models for repeated measures and nonlinear 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. Twoway and threeway 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. Nonlinear regression

Information for Visiting Students
Prerequisites  None 
High Demand Course? 
Yes 
Course Delivery Information
Not being delivered 
Learning Outcomes
On completion of this course, the student will be able to:
 Choose and apply appropriate statistical models and methods for a range of statistical problems.
 Demonstrate a working practical knowledge of the statistical package R.
 Prepare typed reports of statistical analyses using LaTeX (or MS Word).
 Demonstrate experience of working on statistical consultancystyle projects.

Reading List
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. 
Additional Information
Graduate Attributes and Skills 
Not entered 
Keywords  STCon,Statistics 
Contacts
Course organiser  Dr Bruce Worton
Tel: (0131 6)50 4884
Email: 
Course secretary  Mrs Alison Fairgrieve
Tel: (0131 6)50 5045
Email: 

