Module Identifier MX37210  
Academic Year 2001/2002  
Co-ordinator Mr David Jones  
Semester Semester 2  
Other staff Dr J Basterfield  
Pre-Requisite MX36010  
Mutually Exclusive MA27210  
Course delivery Lecture   14 x 1 hour lectures  
  Seminars / Tutorials   2 x 1 hour example classes  
  Practical   6 x 2 hour practical classes  
Assessment Course work     20%  
  Exam   2 Hours (written examination)   80%  
  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. THE ANALYSIS OF VARIANCE: One way and two way classification. Models. Estimators, confidence intervals and tests. Residuals and fitted values. Checking assumptions. Interpretation of analyses. Contrasts. Interactions. Transformation of data.
2. BIVARIATE REGRESSION: Least Squares estimators. Comparison with one predictor. Interpretation of sequential sums of squares. Standardised residuals.

Reading Lists

** Supplementary Text
F Daly, D J Hand, M C Jones, A D Lunn & K J McConway. (1995) Elements of Statistics. Addison-Wesley 0201422786
W Mendenhall, D D Wackerly & R L scheaffer. (1996) Mathematical Statistics with Applications. 5th. PWS-Kent 0534209165