Module Identifier | MA26510 | ||

Module Title | STATISTICAL METHODS | ||

Academic Year | 2001/2002 | ||

Co-ordinator | Dr J Lane | ||

Semester | Semester 1 | ||

Pre-Requisite | MA11310 | ||

Mutually Exclusive | MX36510 | ||

Course delivery | Lecture | 11 x 1 hour lectures | |

Practical | 11 x 2 hour practical classes | ||

Assessment | Course work | | 40% |

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 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 practising statistician.

On completion of this module, a student should be able to:

- summarise effectively a set of data;
- identify the statistical techniques appropriate to analysing a given situation;
- carry out standard statistical procedures;
- draw conclusions from an analysis of data and write reports concerning these conclusions.

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.

F Daly, D J Hand, M C Jones, A D Lunn & K J McConway. (1995)

W Mendenhall, D D Wackerly & R L Scheaffer. (1996)