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

COURSE: Applied Probability and Statistics in Engineering and Management Science (ENGT 6980-995)
 
PREREQUISITE: Applied Engineering Mathematics (ENGT 3020)
 
CREDIT: 3 semester hours
 
TEXT: Montgomery and Runger, Applied Statistics and Probability for Engineers, Third Edition, John Wiley & Sons, 2003 (ISBN 0-471-20454-4)

UT bookstore price: New: $115.75, Used: $86.95
amazon.com price: New: $115.05, Used: from $63.33
Barnes and Noble price: New: $107.75
 
SOFTWARE: MINITAB Student Version 12 for Windows/With CD-ROM, MINITAB, Inc., 1998 (ISBN 0534360092)

Barnes and Noble price: New: NA, Used: $25.35
UT Bookstore price: New: $30.75, Used: $23.00
E-Academy rental: $25.99 for 5 months lease
McKenzie & Goldman, Student Edition of Minitab for Windows 95/NT, Release 12/with CD-ROM, Addison-Wesley Longman, 1998 (ISBN 0201397153)

UT bookstore price: New: $79.00, Used: $59.25
Barnes and Noble price: New: $79.00, Used: $59.25
 
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 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
(parenthetic notes for 3rd ed.)		 Practice Problems
3rd=third edition
1 Jan 13 Introduction for DL Students



2 Jan 13 The Role of Statistics in Engineering
Chapter 1
Sections 1.1 - 1.4		 Chapter 1
3 Jan 20 Probability
Chapter 2
Sections 2.1 - 2.4		 Chapter 2
2-1,5,27,36,49,53,57
4 Jan 27 Probability
Chapter 2
Sections 2.5 - 2.8		 Chapter 2
2-72,29,83,90,94,100
5 Feb 3 Discrete Random Variables and Probability Distributions
Chapter 3
Sections 3.1 - 3.5		 Chapter 3
3rd: 3-15,19,27,47,52
6 Feb 10 Discrete Random Variables and Probability Distributions
Chapter 3
Sections 3.6 - 3.9		 Chapter 4
3rd: 3-57,67,79,81,90
 
7
 		  
Feb 17		 Continuous Random Variables and Probability Distributions
Chapter 4
4.1 - 4.6
Chapter 4
3rd: 4-4,6,12,21,23,30,32,40,48
8 Feb 24 Continuous Random Variables and Probability Distributions
Chapter 4
Sections 4.7 - 4.11
Chapter 4
4-62,66,72,88,113
9 Oct 21 Joint Probability Distributions
Chapter 6
Sections 6.1 - 6.8 (5.1 - 5.7)		 Chapter 6
1,2,9,21,37,55,63,75,81
3rd: 6-1,2,9,17,37,55,67,80,89
10 Oct 28 Parameter Estimation
Chapter 7
Sections 7.1 - 7.7 (7.1 - 7.5 & 8.1 - 8.7) 		Chapter 7
3,8,23,26,27
3rd: 7-3,8,34,37,38
11 Nov 4 Statistical Inference for a Single Sample
Chapter 8
Section 8.1 - 8.2 (9.1 - 9.2) 		Chapter 8
1,2,7,8,19,21
3rd: 9-2,3,8,9,20,23
12 Nov 11 Statistical Inference for a Single Sample
Chapter 8
Sections 8.3 - 8.8 (9.3 - 9.8)		 Chapter 8
29,33,39,49,55,59
3rd: 8-46; 9-35,39,44,56,60
13 Nov 18 Statistical Inference for Two Samples
Chapter 9
Sections 9.1 - 9.4 (10.1 - 10.4)		 Chapter 9
1,5,11,15,19
3rd: 10-1,5,11,17,21
14 Nov 25 Statistical Inference for Two Samples
Chapter 9
Sections 9.5 - 9.7 (10.5 - 10.7)		 Chapter 9
41,43,58
3rd: 10-41,47,65
15 Dec 2 Simple Linear Regression and Correlation
Chapter 10
Sections 10.1 - 10.10 (11.1 - 11.10)		 Chapter 10
16 Dec 9
Chapter
Sections 		Chapter
 
17
 		  
Dec 16		  
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