Location of Department Office Room 211A Weller Hall

Telephone number of Department 463-5716

Department Chairperson Dr. Farrokh Nasri

Regression Modeling, analysis of variance, time series analysis and business forecasting methods, and nonparametric methods. Use of statistical packages. (Formerly Quantitative Analysis in Business.)

PREREQUISITES QM 201 or approved equivalent.

A Second Course in Statistics: Regression Analysis by Mendenhall and Sincich. Fifth edition, Prentice Hall, 1996.

Optional: Student=s Solution Manual for above text.

It is expected that the student has a working knowledge of computers and familiarity with Hofstra=s computer resources.

The objective of this course is to familiarize the student with methods of data analysis, as well as the application of statistical techniques to the solution of business problems. The instructor will lecture on individual chapters and assign homework problems as well as computer assignments. These assignments will be discussed in class, and randomly collected and graded. A significant term project on the application of the techniques learned using a statistical software, is also expected.

The regular attendance is essential for this course. Students who miss a class are responsible for all work, notes and assignments missed. An excessive amount of absences will affect student=s grade in the course. Students must obtain at least two telephone numbers of classmates. If you miss a class, obtain the material for that class from a fellow classmate and/or arrange to see the instructor. Remember, you are ultimately responsible for all materials covered and homeworks assigned.

Students are required to read all assigned chapters and be prepared to participate in class discussions. Written assignments should be neat and legible. Late assignments must have prior approval of the instructor to be accepted. Tests are mainly problem based and may include a few short questions. A minimum of two tests will be given. Quizzes may be given at periodic intervals. The above are minimum requirements and will be increased when the instructor deems necessary.

Homework & Computer Assignments and

classroom participation 15%

Mid-term exam 30%

Term Paper 15%

Final exam (cumulative) 40%

MAKEUP EXAMINATIONS No make-up exams will be given. The weight of the exam missed will be added to the final exam.

COMPUTER COMPONENT Students are required to use statistical packages such as, SAS, MINITAB, SPSS, and BMDP, for their computer assignments.

SCHOOL OF BUSINESS POLICY ON CALCULATORS

Simple calculator with a square root function key or preferably with an exponentiation key; i.e., y^x key is required. If students desire to use a calculator during an examination, they are responsible for providing the appropriate model, and it must be removed from its case. Any student found using an inappropriate model will be charged with cheating and subject to university discipline.

SCHOOL OF BUSINESS POLICY ON INCOMPLETE GRADES

A student unable to complete a course for a valid reason may, with the permission of the instructor, receive a grade of incomplete (INC). The student should be at passing level for all the work he/she has completed prior to receiving an incomplete grade.

QM 210 Dr. F. Nasri

TENTATIVE CLASS SCHEDULE

2 Review of Basic Concepts 1

1 Introduction to Regression Analysis 2

1 Simple Linear Regression 3

2 Multiple Regression 4

2 Introduction to Model Building 5

1 Regression Pitfalls, and Residual Analysis 6,7

1 MID-TERM EXAM

2 Time Series Modeling and Forecasting 9

2 Analysis of Variance for Designed Experiments 11

1 Nonparametric Techniques Notes

FINAL EXAM (CUMULATIVE)