|| MX37210 |
|| REGRESSION AND ANOVA |
|| 2004/2005 |
|| Mr Alan Jones |
|| Semester 2 |
|| Dr J G Basterfield |
|| MX36010 |
|| MA27210 |
| Course delivery
|| Seminars / Tutorials || 2 x 1 hour example classes |
|| Practical || 6 x 2 hour practical classes |
|| Lecture || 14 x 1 hour lectures |
|Assessment Type||Assessment Length/Details||Proportion|
|Semester Exam||2 Hours (written examination) ||80%|
|Semester Assessment|| Course Work: ||20%|
|Supplementary Assessment||2 Hours (written examination) ||100%|
On completion of this module, a student should be able to:
explain the rationale behind, and the underlying theory of, the analysis of variance;
explain the issues that arise in extending regression from one predictor variable to two;
carry out appropriate analyses and draw conclusions.
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.
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.
** Supplementary Text
D D Wackerley, W Mendenhall & R L Scheaffer (2002) Mathematical Statistics with Applications
6th. Duxbury. 0534377416
F Daly, D J Hand, M C Jones, A D Lunn & K J McConway (1995) Elements of Statistics
This module is at CQFW Level 6