Authorised by Academic Registrar, April 1996
Objectives On the completion of this subject students will be able to understand those aspects of probability theory on which statistical inference theory is based; have become familiar with tests of hypotheses, correlation and regression, etc, and use these to solve statistical problems; understand the importance of the mathematical point of view when dealing with statistics.
Synopsis Introductory probability: conditional probability, independence, Bayes' Theorem. Random walks, matching problems and occupancy problems. Statistical inference: estimation and tests of hypotheses, correlation and regression, chi-square test of goodness of fit. Use of MINITAB.
Assessment Examinations (3 hours): 85% + Assignments (2): 7% + Tests (3): 8%