


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 goodnessoffit 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 
Goodnessoffit Tests and Probability Plots
Goodnessoffit Tests and Probability Plots

Notes
Notes 
6 
10/6
10/8 
11
12 
Goodnessoffit
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 

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 
OneFactor
Experiments
OneFactor 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.

