304_Hw6_Poisson_CLT_Exam

# 304_Hw6_Poisson_CLT_Exam - CEE 304 UNCERTAINTY ANALYSIS IN...

• Notes
• 4
• 100% (1) 1 out of 1 people found this document helpful

This preview shows pages 1–2. Sign up to view the full content.

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.

This preview has intentionally blurred sections. Sign up to view the full version.

This is the end of the preview. Sign up to access the rest of the document.
• Fall '08
• Stedinger
• Normal Distribution, Probability theory, Exponential distribution, supervisor, CEE

{[ snackBarMessage ]}

### What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern