Instructor Overview Resources Syllabus WebCT

Objectives

Course Schedule

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:

1. Present and interpret graphical and numerical summaries of data,
2. Develop and use probability plots for any probability distribution function,
3. Apply the appropriate goodness-of-fit tests for probability distributions,
4. Analyze data using standard estimation and hypotheses testing methods, and
5. 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

1

9/1
9/
3

1
2

Introduction
Descriptive Statistics

1.1 - 1.3
1.4 - 1.8

2

9/8
9/1
0

3
4

Probability
Probability

2.1 - 2.4
2.5 - 2.8

3

9/15
9/1
7

5
6

Random Variables
Mathematical Expectation

3.1 - 3.3
4.1 - 4.4

4

9/22
9/2
4

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
10/1
5

13
14

Review of Exam #1
Sampling Distribution

8.1 - 8.4

8

10/20
10/2
2

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
11/1
2

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
11/2
6

No Class (Furlough Day)
Thanksgiving Holiday

14

12/1
12/
3

25
2
6

## Multiple Linear Regression Multiple Linear Regression

12.1 - 12.6
12.8 - 12.11

15

12/8
12/1
0

27
2
8

One-Factor Experiments
One-Factor Experiments

13.1 - 13.4
13.5 - 13.8

16

12/15
12/1
7

No class
Final Exam: 8:00 - 10:00

 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

Updated: September 1, 2009