Probability and statistics
Associate Professor Philip Rayment
3 points * Second semester * Two 1-hour lectures and one 1-hour tutorial per week * Gippsland/Distance * Prerequisites: An appropriate Year 12 Mathematics or GAS1601 * Prohibitions: MAT1060, MAT1372
Objectives The subject aims for students to be able to demonstrate an understanding of basic principles of good experimental design; use numerical or graphical techniques, as appropriate, to summarise data; formulate simple probabilistic models and calculate relevant probabilities as part of a problem solution; make simple inferences from sample data based on point and interval estimation of population parameters; use a statistical package and/or statistical calculator for the above tasks.
Synopsis This subject introduces some useful techniques of statistical data analysis for science students, including those planning further studies in statistics. Topics covered include the nature of statistics; basic concepts of experimental design; collecting and organising data; probability models; discrete distributions and applications including statistical quality control; continuous distributions including the normal distribution and applications; estimation from random samples, discussing point and interval estimation of means, differences between means and proportions; simple linear regression model.
Assessment Assignments and class tests: 40% * Examination (3 hours): 60%
Prescribed texts
Devore J L Probability and statistics for engineering and the sciences 4th edn, Duxbury, 1995
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