Data Analysis (U01656)

? Credit Points : 20 ? SCQF Level : 10 ? Acronym : MAT-4-DAn

Course for Honours Degrees involving Statistics.

The syllabus may change from year to year according to what other courses in Statistics are offered, but it is likely to contain most of the following topics.

1. Two-way and three-way classifications, blocking, interaction
2. Models with categorical and continuous variables, analysis of covariance
3. Generalized linear models for binary and count data
4. Repeated measures, emphasising the use of summary statistics
5. Discriminant analysis, especially Normal-based methods and logistic discrimination
6. Random effect models, emphasising REML estimation for Normal models
7. Non-linear regression

Entry Requirements

? Pre-requisites : Final year Honours students only - MAT-3-LSM, MAT-3-Lik

Subject Areas

Home subject area

Specialist Statistics (Year 4), (School of Mathematics, Schedule P)

Delivery Information

? Normal year taken : 4th year

? Delivery Period : Semester 1 (Blocks 1-2)

? Contact Teaching Time : 3 hour(s) per week for 11 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
19/09/2007	10:00	11:00	Room 4.312, JCMB	KB

All of the following classes

Type	Day	Start	End	Area
Lecture	Monday	15:00	15:50	KB
Lecture	Wednesday	10:00	10:50	KB
Laboratory	Thursday	15:00	15:50	KB
Laboratory	Thursday	16:10	17:00	KB

Summary of Intended Learning Outcomes

1. Knowledge of S-Plus commands for plotting and annotation (including interaction plots and methods for repeated measures), fitting linear models, model selection, summarising multivariate data, discriminant analysis, variance component estimation and non-linear regression.
2. Ability to choose and apply appropriate statistical models and methods for the topics listed in the Syllabus Summary.
3. Ability to prepare typed reports of statistical analyses using LaTeX (or MS Word) and selected S-Plus output.