The University of Toledo
College of Engineering
Department of Engineering Technology
Spring Semester 2003

COURSE: Applied Statistics and Design of Experiments (ENGT 3010-995)
 
COREQUISITE: Applied Engineering Mathematics (ENGT 3020)
 
CREDIT: 4 semester hours
 
TEXT: G. G. Vining, Statistical Methods for Engineers, Duxbury Press, 1998 (ISBN 0534237061)
The text and the software are available from the UT Bookstore as a combined package:
UT bookstore price: New: $1114.30, Used: $85.75
Text only:
amazon.com price: New: $100.95, Used: from $50.00
Barnes and Noble price: New: $100.95, Used: $74.85
 
SOFTWARE: MINITAB Student Version 12 for Windows/With CD-ROM, MINITAB, Inc., 1998 (ISBN 0534360092)
Software only:
Barnes and Noble price: New: NA, Used: $25.35
Software rental:
E-Academy rental: $25.99 for 5 months lease
 
SOFTWARE MANUAL: R. E. Davis, MINITAB Lab Manual for Vining’s Statistic Methods for Engineers, Duxbury Press, 1998 (ISBN 0534237096)
This manual is required.
UT Bookstore price: New: $30.70, Used: $23.05
amazon.com price: $28.95
Barnes and Noble price: $22.35
 
COURSE DESCRIPTION: Introduction to applied probability, statistical inference, and design of experiments. Topics include discrete and continuous probability distributions, confidence intervals, tests of hypotheses, linear regression and correlation, analysis of variance, factorial experimental designs, and propagation of measurement uncertainty.  MINITAB interactive statistical and graphical software will be utilized for data display and analysis.  Four hours of lecture per week.
 
MEETING TIME: Distance Learning
 
INSTRUCTOR: Richard A. Springman
Office: ET 1126
Phone:  (419) 530-3276
Fax:  (419) 530-3068
E-mail: rspringm@eng.utoledo.edu
Office hours:   TR 2:30 - 3:30  pm
MW 2:00 - 3:00 pm
or by appointment
 
GRADUATE ASSISTANT: Farizal
E-mail: farizal@cset.et.utoledo.edu
 
OBJECTIVES: To provide students with a working knowledge of statistical methods and design of experiments as applied to engineering technology problems by extensive use of illustrative examples and exercises. A designed experiment is a test or series of tests in which purposeful changes are made to the input variables of a process or system such that their effects on changes in the output response can be observed and measured (fixed effects model). Generally, this involves determination of the accuracy and precision of the data collection procedures, specification of the response variables and the test sequence, and the analysis and interpretation of the experimental results. Also, the course introduces students to MINITAB, a general purpose statistical analysis computer program used extensively in business, industry, government, and education. This program relieves students of the computational drudgery usually associated with statistics, and allows them to focus on important concepts and interpretation of results.

Students are expected to learn how to:

  1. Establish frequency distributions
  2. Distinguish between populations and samples
  3. Calculate measures of central tendency, such as the mean, median or mode
  4. Calculate measures of dispersion, such a standard deviation, variance or skewness
  5. Understand basic concepts of probability
  6. Utilize binomial and Poisson probability distributions
  7. Utilize normal probability distributions
  8. Utilize distribution of sample means
  9. Perform Chi-square tests
  10. Establish confidence intervals
  11. Test hypotheses
  12. Perform correlation analysis
  13. Perform linear regression analysis
  14. Understand multiple linear regression analysis
  15. Perform various non-parametric tests
  16. Utilize the MINITAB computer program
 
GRADING: Your grade in the course will be determined using the following weightings:
    Homework 50%
    Participation 10%
    Final Exam 40%
Your partication grade will be determined based upon the quantity and quality of your contributions to the discussion page. Each student will be expected to contribute to the on-going threaded discussion appearing on the Class Discussion Page and to participate in the Chat Room/White Board discussions.
 
 
ACADEMIC (DIS)HONESTY: All work submitted is expected to be your own.  Any instances of dishonesty, plagiarism, cheating, or copying will be dealt with in accordance with the College of Engineering’s Policy on Academic Dishonesty.
 
GRADE SCALE: Your grade in the course will be determined in accordance with the following criteria:

A> 92 C72 -78
A-90 - 92 C-70 - 72
B+88 - 90 D+68 - 70
B82 - 88 D62 - 68
B-80 - 82 D-60 - 62
C+78 - 80 F< 60

 
TENTATIVE OUTLINE OF TOPICS:
Lesson Date
Week of		 Topic Problem Assignment
1 January 13 Introduction for DL Students



2 January 13
Engineering Method
Chapter 1
Sections 1,2,3,4,5,6,7,8,9		 Chapter 1
No problems in this chapter
3 January 20 Data Display
Chapter 2
Sections 1,2,3		 Chapter 2
2,4,6,8,12,14,16,18,20
4 January 27 Computer Software
Chapter 2
Sections 4,5,6		 Chapter 2
28,30,32,34,41
5 February 3 Discrete Random Variables
Chapter 3
Sections 1,2,3		 Chapter 3
3,9,13,17,21,27
6 February 10 Continuous Random Variables
Chapter 3
Sections 4,5		 Chapter 3
32,37,39
 
7
 		  
February 17		 Modeling Random Behavior
Chapter 3
Sections 6,7,8,9,10		 Chapter 3
41,45,48,51,55,57
8 February 24 Estimation and Testing
Chapter 4
Sections 1,2		 Chapter 4
1,5,7,,11
10 March 3 Statistical Inference
Chapter 4
Sections 3,4		 Chapter 4
15,23
11 March 17 Statistical Inference
Chapter 4
Sections 5,6		 Chapter 4
29,31,35,37
12 March 24 Statistical Inference
Chapter 4
Sections 7,8,9,10		 Chapter 4
43,45,49,53
13 March 31 Linear Regression
Chapter 6
Section 1,2,3		 Chapter 6
1,2,5,9,10
14 April 7 Residual Analysis
Chapter 6
Sections 4		 Chapter 6
15,16,22
15 April 14 Factorial Designs
Chapter 7
Sections 1,2,3		 Chapter 7
2,4,6,7,9
16 April 21 Fractional Factorial Designs
Chapter 7
Sections 4,5		 Chapter 7
12,15,16
16 April 28 Multiple Responses
Chapter 7
Sections 6,7		 Chapter 7
34,38
 
17
 		  
April 5		  
FINAL EXAM

 

Notes:

  1. Monday, January 20, is a University holiday (Martin Luther King Day)
  2. Friday, March 7, is the last day to withdraw from class
  3. Monday-Friday, March 10-14 is Spring Break
  4. Friday, May 3, is the last day of classes