304_Hw6_Poisson_CLT_Exam - CEE 304 UNCERTAINTY ANALYSIS IN...

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CEE 304  -  UNCERTAINTY ANALYSIS IN ENGINEERING First PRELIM EXAM Wednesday, October 3, 2007, in class. Covering material in Chapters 1-5 and Poisson material in Section 3.6. Open book and open notes. Learning objectives and sample exams will be distributed next week. Review SESSION  for exam, in class Monday, Oct. 1, 2007 QUESTION SESSION  for exam, Tuesday, Oct. 2, 2007 – Location/time TBA 304 Sections  cancelled on Oct. 3 and 4.  (Relax after the exam.) Topics covered on Exam Sections  1.1-1.3    Descriptive Statistics-Looking at Data Sections 2.1-2.5 Probability theory Sections 3.1-3.4 Discrete random variables Sec. 4.1-4.4 (not 4.5)   Continuous random variables  Handout Derived distributions: Y = g(X) Sections 5.1-5.3   Joint distributions: f XY (x,y) Sections 5.4-5.5   Central Limit Theorem, Linear Functions Handout Conditional distributions (also Sec. 5.1): f X|Y (x|y) Handout Approximate moment analysis Lec. Notes  Poisson process (also Sec. 3.6)  << Lecture #14 Homework #6 Due:   Monday, October 1, 2007  Solutions will be available that day on Blackboard Web Site for those  who turn in their homework.  (Keep a copy of your Hw.) Read:   Poisson Lecture notes and  SKIP   Devore7 § 3.6, pp. 121-124 [D6 135-38] – it uses a  confusing notation. See Section 4.4   [Devore7 157-62;  D6 174-79 ] on Gamma and  Exponential distributions; look at Table A.2 on Devore7 pp. 666-67  [D6, pp. 738-39]   as  well as A.4 on p. 670  [D6, p. 742]  for use with problems.  Also read Devore § 5.4 on the  Central Limit Theorem.
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  • Fall '08
  • Stedinger
  • Normal Distribution, Probability theory, Exponential distribution, supervisor, CEE

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