Module Identifier
MA26510
Module Title
STATISTICAL METHODS
Academic Year
2008/2009
Co-ordinator
Dr John A Lane
Semester
Semester 1
Mutually Exclusive
MX36510
Pre-Requisite
MA11310 MT11310
Other Staff
 

Course Delivery

Delivery Type Delivery length / details
Lecture 11 Hours. (11 x 1 hour lectures)
Practical 22 Hours. (11 x 2 hour practical classes)
 

Assessment

Assessment Type Assessment length / details Proportion
Semester Assessment coursework  40%
Semester Exam 3 Hours   (practical examination)  60%
Supplementary Assessment 3 Hours   (practical examination)  100%

Learning Outcomes

On completion of this module, a student should be able to:
1. summarise effectively a set of data;
2. identify the statistical techniques appropriate to analysing a given situation;
3. carry out standard statistical procedures for one and two samples;
4. state and check the assumptions required by their analyses;
5. draw conclusions from an analysis of data and write reports concerning these conclusions.

Brief description

There is an increasing demand in the workplace for personnel skilled in the analysis and interpretation of data. This module covers the basic skills of a practising statistician and includes also the preparation of reports.

Aims

This module will give students a thorough grounding in the methods used by a practising statistician.

Content

  1. DESCRIPTIVE STATISTICS: Interpretation of data presented in numerical and graphical forms. Report writing.
  2. BASIC IDEAS: Estimates and standard errors of means, proportions, sums and differences. Fitting straight lines, correlation.
  3. CONFIDENCE STATEMENTS: Construction and interpretation of confidence intervals for means, rates and proportions. Confidence limits for the difference between parameters.
  4. HYPOTHESIS TESTING: Hypothesis tests; interpretation of p-values; Binomial, Poisson and Normal cases. Paired and unpaired two sample t-tests.
  5. STATISTICAL PROCESS CONTROL: Basic ideas; control charts; process capability.
  6. LINEAR REGRESSION: Interval estimation and tests for slope, intercept and fitted line. Prediction.

Reading List

Recommended Text
Ryan, Barbara (May 2006) Minitab Student Version 14 for Windows + Minitab Handbook Thomson Delmar Learning Primo search Supplementary Text
D D Wackerley, W Mendenhall & R L Scheaffer (2002) Mathematical Statistics with Applications 6th Duxbury. Primo search F Daly, D J Hand, M C Jones, A D Lunn & K J McConway (1995) Elements of Statistics Addison Wesley Primo search

Notes

This module is at CQFW Level 5