Module Identifier | MA27210 | ||
Module Title | REGRESSION AND ANOVA | ||
Academic Year | 2000/2001 | ||
Co-ordinator | Mr D A Jones | ||
Semester | Semester 2 | ||
Other staff | Dr J G Basterfield | ||
Pre-Requisite | MA26010 | ||
Mutually Exclusive | MX37210 | ||
Course delivery | Lecture | 14 x 1 hour lectures | |
Seminars / Tutorials | 2 x 1 hour 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.
Aims
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:
Syllabus
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
Books
** Supplementary Text
F Daly, D J Hand, M C Jones, A D Lunn and K J McConway.
Elements of Statistics. Addison Wesley
W Mendenhall, D D Wackerly & R L Scheaffer.
Mathematical Statistics. PWS-Kent