This Website's URL: http://www.princeton.edu/~evm/civ245.html

SPRING 1998

CIV 245: Fundamentals of Engineering Statistics

Prof. Erik VanMarcke

Class Meets MWF 10:00-10:50am in Rm C-207

NOTICES

Second Midterm: you can find graded midterms in the CIV245 "out-box" as of Monday, May 13. Solutions are here . The grade distribution: within the range 30-39: 2; 40-49: 1; 50-59: 7; 60-69: 7; 70-79: 24; 80-89: 23; 90-99: 5.

A set of sample problems and solutions is available to help you prepare for the second midterm and the (statistics part of the) final exam. In studying for the final, it is recommended that you review homework problems and the two midterms.

You can bring a "cheat sheet" (double-sided or two single-sided, stapled together) to the final. No books. Tables will be provided as needed.

Homework #10 (project) will be returned after the final exam; you'll find the graded projects either in the "out-box" (as long as it is still there) or in Zoya Kramer's office (Room ACE-45, E-Quad).

Solutions to First Midterm: click here

Outline of Lectures & Reading Assignments

Homework Assignments (Click on Number):

1 (Feb. 6); 2 (Feb. 13); 3 (Feb. 20); 4 (Feb. 27); 5 (March 13); 6 (March 27); 7 (April 3); 8 (April 10); 9 (April 17); 10 (April 20)

Solutions to Homeworks (Click on Number):

1 (Feb. 18); 2 (Feb. 25); 3 (Ma. 5); 4 (Ma. 9); 5 (Apr. 2); 6 (Apr. 9); 7 (Apr. 16); 8 (Apr. 23); 9 (May 12)

---

CIV 245 -- Spring 1998

COURSE INFORMATION

Instructor

Professor Erik VanMarcke
Room: E-403; Phone: x5896; E-mail: evm@princeton.edu
Webpage (F.Y.I.): http://www.princeton.edu/~evm
Office Hours: Mondays, 11am - noon

Secretary: Ms. Zoya Kramer
ACE-45 (Corner Office, 4th Floor, E-Quad); Phone: x6758

Assistants-in-Instruction

Ms. Julia Egorova
Room: C-332; Phone: x4869; E-mail: egorova@princeton.edu
Office Hours: Wednesdays, 3:30 - 4:30pm; will conduct a tutorial session on Wednesdays at 7pm in Room E-301.

Mr. Leihai You
Room: E-420; Phone: x5339; E-mail: lyou@princeton.edu
Office Hours: Tuesdays, 9 - 10am , Thursdays, 9 - 10am

Aims of the Course

The course is intended to provide: (a) an introduction to the language, logic, and math of probability and statistics as used in engineering and the sciences; and (b) opportunity to learn how probabilistic analyses and statistical reasoning and testing can be applied to a wide range of problems of importance in the sciences, industry, and society.

Textbook

Probability and Statistics for Engineering and the Sciences, 4th Edition, by Jay L. Devore, 1995.

Web Address for the Course

http://www.princeton.edu/~evm/civ245.html

Homework Assignments and Solutions

• Homework assignments will be posted on the Web, usually on Fridays. Click on the number (corresponding to date of issue) under "Homework Assignments" in the main menu.
• Graded homeworks will be returned in class on Wednesdays; leftovers can be picked up in the CIV 245 "Out Box" in the Student Lounge, E-Wing, E-Quad.
• After graded homeworks are returned (on Wednesdays), solutions will be posted on the Web. Click on the number (corresponding to date of issue) under "Solutions" in the main menu.

Course Requirements & Grading Policy

• Homeworks will be considered late, and will not be graded, if not returned in class or left in the CIV 245 "In Box" (in the Student Lounge) by noon on the due date, typically the following Friday.
• Your two lowest homework scores will not be included in your "homework-grade average", but the final assignment (Homework #10, an individual project) must be completed to obtain a passing grade in the course.
• There will be two in-class "midterms" (50 minutes) and a final exam (3 hours).
• Grading formula: 20% homework + 40% midterm + 40% (last assignment + final)

Statistical Computing

Some homeworks involve -- optionally, except for Homework #1 -- the use of a PC (or Mac). A tutorial session will be conducted by the A.I.'s at class-time (10am) on Friday, February 6, in Room E-203 to introduce you to the STATGRAPHICS statistical package, installed on PC's in the E-Quad.

Tutorial Sessions

Starting during the second week of the term, Julia Egorova will run a weekly tutorial session on Wednesdays at 7pm in Room E-301.

RETURN TO MAIN MENU

CIV 245 -- Spring 1998

OUTLINE OF LECTURES & READINGS

Week of February 2 --- Assigned Reading: Chapter 1

M: Introduction; Samples; Central Tendency
W: Dispersion; Histograms, Scattergrams
F: STATGRAPHICS Tutorial --- Homework #1

Week of February 9 --- Assigned Reading: Chapter 2

M: Set theory; Introduction to Probability
W: Event Trees; Conditional Probability
F: Bayes' Theorem; Decision Trees --- Homework #2

Week of February 16 --- Assigned Reading: Chapter 3 except Sect. 3.5

M: Random Variables
W: Moments of Random Variables
F: Discrete Probability Models I --- Homework #3

Week of February 23 --- Assigned Reading: Chapter 4 except Sect.'s 4.5 and 4.6

M: Discrete Probability Models II
W: Continuous Probability Models
F: Continuous Probability Models (Continued); C.L.T. --- Homework #4

Week of March 2 --- Assigned Reading: Sections 5. 1 and 5.2

M: Probability Models (Continued)
W: Jointly Distributed Random Variables; Independence
F: Covariance, correlation

Week of March 9 -- Assigned Reading: Section 4.6

M: Bivariate Normal Distribution. Algebra of Expections
W: Problem-Review Session (Run by the A.I.'s)
F: MIDTERM EXAM --- Homework #5 posted on the web, due on Friday 3/27.

Week of March 23 --- Assigned Reading: Sections 5.3, 5.4, 5.5

M: Random Samples; "Statistics"; Simulation
W: Sums, Means, Linear Combinations, Extremes
F: "Diversify to Reduce (Financial) Risk" --- Homework #6

Week of March 30 --- Assigned Reading: Chapter 6

M: Classical Statistics: Overview
W: Properties of Estimators; Parameter Estimation
F: Continuation; Examples --- Homework # 7

Week of April 6 --- Assigned Reading: Chapters 7 & 8

M: Confidence Intervals
W: Hypothesis Tests
F: Single-Sample Statistics: Examples --- Homework #8

Week of April 13 --- Assigned Reading: Chapter 9

M: Statistics Involving Two Samples
W: More on Two-Sample Tests; Examples
F: Correlation Revisited --- Homework #9, due at noon Wed. 5/6

Week of April 20 --- Assigned Reading: Chapter 12

M: Regression and Linear Prediction --- Homework #10, due at noon Mo. 5/11
W: Regression (Continued)
F: Nonlinear & Multiple Regression

Week of April 27 --- Assigned Reading: Chapter 13 (1, 2)

M: Overview; Closure
W: Problem-Review Session (Run by A.I.'s)
F: END-OF-TERM EXAM

RETURN TO MAIN MENU