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Probability - FACULTY OF SCIENCE SCHOOL OF MATHEMATICS AND...

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FACULTY OF SCIENCE SCHOOL OF MATHEMATICS AND STATISTICS MATH2859 Probability, Statistics, and Information Session 2, 2009
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MATH2859 Probability, Statistics and Information (Combined with MATH2099 Mathematics 2B Statistics Strand) UOC 3 UOC Course Staff Lecturer: Dr. Feng Chen (RC 1031), phone: 9385-7026, email: [email protected] You will also be assigned a tutor for tutorials/laboratories, which should be your first point of contact for any questions about this course. Lectures Week 1 through to week 12, Wednesday 12-2pm REX-VOWELS Tutorials/Laboratory classes These are held at a variety of times and locations as indicated on your timetable through MYUNSW. Tutorials start in week 2 with a computer lab and then alternate each week between classroom tutorials and computer lab tutorials though until week 13. The com- puter labs are all held in the School of Mathematics and Statistics’ ground floor computer laboratory in the Red Centre. Early in Week 1, you should make sure you can logon to the computers in the ground floor laboratory (RC-G012). You will first need to set your Mathematics and Statistics password using the Maths Info link on the course home page. If you are having difficulties please go to the Computing Centre helpdesk on the mezzanine level of the Red Centre. You are advised to start, as soon as possible, to do the preliminary online Matlab Quizzes which are available through the course web pages. These are designed to get you started using Matlab, and they form part of your assessment. You must have set your password and be able to login to the Mathematics & Statistics computer laboratories BEFORE the first labs in Week 2. Because of the block lab test in Week 10, your regular Statistics computer laboratory will not be held that week . Course Web Site The MATH2099/MATH2859 course web site will be made available through the My eLearn- ing Vista web portal: http://vista.elearning.unsw.edu.au/ You should check the course web site regularly for new and updated information. 1
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Announcements Announcements may be made in lectures or through the course web site. Course description Exploratory data analysis. Probability and distribution theory including the Bino- mial, Poisson, Exponential and Normal distributions. Large sample theory including the Central Limit Theorem. Elements of statistical inference including estimation, confidence intervals and hypothesis testing. One sample and two-sample t -tests and F -tests. Simple and multiple linear regression and analysis of variance. Design and analysis of experiments. Statistical quality control. Applications drawn from a variety of engineering disciplines.
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