|Module Title||STATISTICAL METHODS|
|Co-ordinator||Dr J A Lane|
|Course delivery||Lecture||11 x 1hour lectures|
|Practical||11 x 2 hour practical classes|
|Assessment||Exam||3 Hours (practical examination)||60%|
|Resit assessment||3 Hours (practical examination)||100%|
There is an increasing demand in the workplace for personnel skilled in the routine analysis and interpretation of data. This module covers the basic skills of a practising statistician and includes also the preparation of reports.
This module will give students a thorough grounding in the methods used by a practical statistician.
On completion of this module, a student should be able to:
1. BASIC IDEAS: Interpretation of data presented in numerical and graphical forms. Standard errors of means, proportions, sums and differences.
2. CONFIDENCE STATEMENTS: Construction and interpretation of confidence limits for means, rates and proportions. Confidence limits for the difference between parameters.
3. HYPOTHESIS TESTING: Hypothesis tests; interpretation of p-values. Paired and unpaired two sample tests.
4. NONPARAMETRIC METHODS: Use of non-parametric and distribution-free significance tests for paired and unpaired data.
5. STATISTICAL PROCESS CONTROL: Basic ideas.
6. LINEAR REGRESSION: Fitting straight lines; estimation and tests for slope and intercept. Prediction.
** Recommended Text
F Daly, D J Hand, M C Jones, A D Lunn & K J McConway. Elements of Statistics. Addison Wesley
** Supplementary Text
W Mendenhall, D D Wackerly & R L Scheaffer. Mathematical Statistics with Applications. PWS-Kent