Module Identifier MX37210  
Academic Year 2000/2001  
Co-ordinator Mr D A Jones  
Semester Semester 2  
Other staff Dr J G Basterfield  
Pre-Requisite MX36010  
Mutually Exclusive MA27210  
Course delivery Lecture   14 x 1hour lectures  
  Seminars / Tutorials   2 x 1hour example classes  
  Practical   6 x 2 hour practical classes  
Assessment Exam   2 Hours (written examination)   80%  
  Course work     20%  
  Resit assessment   2 Hours (written examination)   100%  

General description
This module covers the theory of some of the most commonly used statistical techniques - regression and the analysis of variance. It also includes practical application of these important techniques.

This module will provide a thorough grounding in the basic theory associated with some important statistical models.

Learning outcomes
On completion of this module, a student should be able to:

1. SIMPLE LINEAR REGRESSION: Theory of least squares. Normal equations. Sampling distribution of estimators. Confidence intervals and tests. Prediction. Correlation. Residuals.
2. EXTENSIONS: Transformation to linear relationship. Extension of the basic ideas to regression on two independent variables.
3. THE ANALYSIS OF VARIANCE: One way and two way classification. Interaction. Checking assumptions. Interpretation of analyses. Contrasts.

Reading Lists
** Supplementary Text
F Daly, D J Hand, M C Jones, A D Lunn & K J McConway. Elements of Statistics. Addison-Wesley
W Mendenhall, D D Wackerly & R L scheaffer. Mathematical Statistics with Applications. PWS-Kent