Authorised by Academic Registrar, April 1996
Objectives The student is expected to develop a basis in and understanding of statistical inference and statistical process control.
Synopsis Ideas of population and sample, summary statistics, point and interval estimation. Probability modelling Properties of the normal, binomial, hypergeometric exponential, gamma. Weibull, log normal and Poisson distribution. Fitting distributions to data. Tests for normality - graphical. Statistical inference. Concepts of hypothesis test. Test about the mean of one, two and more than two independent populations. Test of assumptions for tests. Test equality of two dependent populations. Tolerance limits. Distribution free tolerance limits. Management of quality. Process capability. Control charting. Pre-control. Acceptance sampling. Standard plans and procedures.
Assessment Examination (3 hours): 70% + Assignments: 30%