Instructor Overview Resources Syllabus WebCT
Objectives Course Schedule Grades Technology Materials	ENGR 203. Engineering Statistics. Applications of statistics to engineering problems. Collection and analysis of data, sampling methods, design of experiments, probability theory, decision theory, analysis of variance, regression analysis, and mathematical curve fitting.
	Course Objectives The main objective of this course is to provide the student with the basic concepts and methods that allow him/her to solve problems that otherwise cannot be solved adequately with available technical background and knowledge. The student should be able to acquire the knowledge so that he/she can efficiently collect empirical data and process the collected information. Specifically, the students, after completing the course, should be able to: Present and interpret graphical and numerical summaries of data, Develop and use probability plots for any probability distribution function, Apply the appropriate goodness-of-fit tests for probability distributions, Analyze data using standard estimation and hypotheses testing methods, and Apply the statistical techniques (linear regression, multiple linear regression, and analysis of variance) to data sets, interpret the results, and make appropriate conclusions.
	Course Tentative Schedule Week Date Day Topic Reading 1 9/1 9/3 1 2 Introduction Descriptive Statistics 1.1 - 1.3 1.4 - 1.8 2 9/8 9/10 3 4 Probability Probability 2.1 - 2.4 2.5 - 2.8 3 9/15 9/17 5 6 Random Variables Mathematical Expectation 3.1 - 3.3 4.1 - 4.4 4 9/22 9/24 7 8 Discrete Probability Distributions Continuous Probability Distributions 5.1 - 5.3, 5.6 6.1 - 6.5 5 9/29 10/1 9 10 Goodness-of-fit Tests and Probability Plots Goodness-of-fit Tests and Probability Plots Notes Notes 6 10/6 10/8 11 12 Goodness-of-fit tests (continued) Exam #1 Notes 7 10/13 10/15 13 14 Review of Exam #1 Sampling Distribution 8.1 - 8.4 8 10/20 10/22 15 16 Sampling Distribution Statistical Inferences: One Sample 8.5 - 8.8 9.1 - 9.5 9 10/27 10/29 17 18 Statistical Inferences: One Sample Statistical Inferences: Two Samples 9.10 & 9.12 9.8 & 9.9 10 11/3 11/5 19 20 Statistical Inferences: Two Samples Statistical Inferences: Two Samples 9.11 & 9.13 11 11/10 11/12 21 22 Simple Linear Regression Simple Linear Regression 11.1 - 11.5 11.6 - 11.8 12 11/17 11/19 23 24 Simple Linear Regression Exam #2 11.9 - 11.12 13 11/24 11/26 No Class (Furlough Day) Thanksgiving Holiday 14 12/1 12/3 25 26 Multiple Linear Regression Multiple Linear Regression 12.1 - 12.6 12.8 - 12.11 15 12/8 12/10 27 28 One-Factor Experiments One-Factor Experiments 13.1 - 13.4 13.5 - 13.8 16 12/15 12/17 No class Final Exam: 8:00 - 10:00
	Grades and Grading Policy A Outstanding achievement > 90 B Excellent performance; clearly exceeds course requirements 80 - 89 C Average 70 - 79 D Passed, but not at average achievement standards 60 - 69 F Failure to meet class requirement < 60 For more details refer to the University Catalog for Grading Policy Activity Percent of Grade Two Exams 50% Quizzes and Assignments 15% Final Exam 35%
	Materials  Required Textbook: Walpole, et al. Probability and Statistics for Engineers and Scientists, 7th Edition, Prentice Hall. You can purchase books through the Hornet Bookstore. Check their Distance and Distributed Learning page at http://www.bookstore.csus.edu/bookstore/distance/ for ordering information.

Send problems, comments or suggestions to: mahmoodr@ecs.csus.edu

California State University, Sacramento
Department of Civil Engineering
College of Engineering and Computer Science

Updated: September 1, 2009