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An-Najah National University Fall 2014/2015

Faculty of Graduate Studies

Engineering Management Master Program

(465122) Applied Statistics and Design of Experiments

Instructor: Dr. Yahya Saleh.

Industrial Engineering Department

Faculty of Engineering

Office No. 2740 and 2600 (An-Najah Business Innovation & Partnership Center, NaBIC)

Tel. Ext. 2520

E-mail: ysaleh@najah.edu

Office Hours: Only by appointment via email.

Course Schedule: Tuesday, 14:00-17:00.

Class Room: 111060 (Faculty of Engineering)

Course Summary: Fundamentals of statistical analysis, confidence intervals, test of

hypotheses of single sample, test of hypotheses of two samples, simple linear regression,

multiple linear regression, introduction to design of experiments (single and multiple),

factorial design, analysis of variance (ANOVA).

Prerequisite: Consent of the instructor. For all students, a background with some basic knowledge on basic probability theory, caculus I and II is needed to follow the course.

Course Objectives: This course intends to teach students advanced tools and methods of

inferenctial statistical thinking that can be employed to analyze, evaluate and solve different

engineering management problems. This course is theoretically a prerequisite to many

courses (Supply Chain Management, Simulation, Quality Management, Risk Management).

Taking this course before such courses will make your task much easier in following those

courses. In addition, it is of an extreme importance to those who intend to do their master

theses to understand the topics of this course, especially, for those who will do their

research based on data collection and questionnaires.

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Course Textbook:

Douglas C. Montgomery, George C. Runger, 2007. Applied Statistics and Probability for

Engineers, 4th Edition, John Wiley and Sons.

Supplemental Textbooks:

1. Scheaffer, R.L. and McClave J.T. Probability and Statistics for Engineers, 2010, 5th

Ed.,Duxbury Press.

2. Ross, Sh. A First Course in Probability, 2009, 8th Ed., Prentice-Hall.

3. Douglas C. Montgomery. Design and Analysis of Experiments, 2012, 8th Edition, John

Wiley and Sons.

4. Soong, T.T. Fundamentals of Probability and Statistics for Engineers. 2004, John Wiley

and Sons.

5. Ayyub B. and McCuen R.H. Probability, Statistics and Reliability for Engineers and

Scientists. 2003, 2nd Edition, Chapman and Hall/CRC.

Software Packages:

Students will be asked to do some of their assigned HWs using any of the following software

packages:

1. Minitab (There will be a tutorial on using this package).

2. SPSS (There will be a tutorial on using this package).

3. R (An open source).

4. Excel.

5. Any other statistical package…

Grading Policy:

Two in-class midterms and a final exam will be given. The following are the weights for

exams and home work problems:

Exam I (Ch.8-10) 20%

Exam II (Ch.11-12) 20%

Final (Comprehensive) 40%

Data Analysis Project 20%

Note: All exams will be closed books and closed notes; however, due to the sophisticated

nature of some formulae, you will be allowed to prepare a formulae sheet for the main

equations and formulae of the course. So, you do not need to memorize any formula!!

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Description of the Data Analysis Project

In the data analysis project, you need to address some questions related to any topic you

choose, preferably, topics in engineering management. You decide how to collect data

(historical or live) and do the statistical analysis using Minitab or any other statistical analysis

package. The project requires you to synthesize all the material from this course and this

solidifies your understanding of statistical methods. In addition, you get answers to issues

that trigger your intellectual curiosity. You should work in groups of two people. Data can be

gathered from several sources. Specifically, valid historical data could be obtained from

records in the organization, websites, published raw data, ….etc. Live data can be obtained

through questionnaires. Hypothetical data will not be accepted!! Either you collect historical

or live data, you need to conduct a comprehensive inferential statistical analyses to answer

the questions that might interest you in the topic you chose. More specifically, your analysis

should answer a set of hypotheses, or should come up with a mathematical model

(regression), or an ANOVA of some DOE. You should report your analysis in a well-written

report including raw data and the full statistical analysis (written report requirements will be

provided later). Also, each group should deliver a 15-minute presentation of their project

(more information will be delivered on the assessment criteria of written reports as well as

on presentation).

Academic Dishonesty: Academic misconduct is not tolerated, and violations will be dispatched in accordance with the University policy.

Course Conduct Policy:

1. All students and the instructor of the course are expected to

Respect each other.

Help each other in creating a suitable environment for learning.

Help each other to have fair assessment of the work done.

2. Attendance is mandatory and students who will miss a class should inform the instructor in advance. Class participation is required and students may need to prepare before the class.

3. In each written exam, you will be asked to sign the following statement: Academic integrity is expected of all students of An-Najah National University at all times,

whether in the presence or absence of members of the faculty. Understanding this, I declare

that I shall not give, use or receive unauthorized aid in the examination.

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The following is a tentative schedule for the content of the course material:

Week

Topic

19/8/2014 Syllabus, Statistical Intervals for a Single Sample, Ch.8

26/8/2014

2/9/2014

Test of Hypotheses for a Single Sample, Ch.9

(Determining the data analysis project topic and forming the teams)

9/9/2014

16/9/2014

Statistical Inference for Two Samples, Ch.10

23/9/2014 Exam I (in class)

30/9/2014

7/10/2014

(Holiday)

14/10/2014

Simple Linear Regression and Correlation, Ch.11

14/10/2014

21/10/2014

Multiple Linear Regression, Ch. 12

28/10/2014 Exam II (in class)

4/11/2014 Design and Analysis of Single-Factor Experiments, Ch. 13

11/11/2014

18/11/2014

Design of Experiments with Several Factors, Ch.14

25/11/2014 Nonparameteric Statistics, Ch.15

2/12/2014 Project Presentation

9/12/2014 Final Exam