General Information:

Instructor:  Dr. James H. Hamburg

Office:  Open Area

Hours:  5:00-6:00 PM or By Appointment

Phone:   (330) 336-5948

E-mail:  jhamburg@wadsnet.com

Class Room:  BSA 100

Required Text:

Prerequisites: Students must have completed all required coursework (BAD 74004/64004) to take this course.

Course Objectives:  This course has two (2) main objectives:

These skills will prepare the student for more advanced work in either their college major or on the job. Certain topics will be emphasized in the course (elementary regression, ANOVA, etc.)

Attendance and Make-up Policy:

Students are expected to attend class and be prepared to participate in class discussions (50 points). For every class missed without a valid excuse, the student will have two (2) points deducted from the class participation score.  Also, students not participating in problem presentations during the semester will have ten (10) points deducted from the class participation score.  Students are strongly encouraged to Ask Questions during class. Class will be conducted in accordance with generally accepted standards of courtesy, consideration, and respect. Students are responsible for any material discussed and/or assigned. There is no extra credit for this course unless specifically stated by the instructor. 

With respect to make-up, the general policy is that the make-up of missed work (including exams and homework) is not allowed. Makeup exams for excused absences will be administered at the discretion of the instructor. Ten percent of the assignment points/class period will be deducted for late homework unless there is a valid excuse. Late assignments will not be accepted after assignments are returned to the students. The excused absences are:

In all these cases, the instructor must be notified prior to the excused absence and not following the absence.

Academic Dishonesty: Academic dishonesty, in all forms, is prohibited. Students will be referred to the College and the University for appropriate action. No credit for the course will be given.

Performance Evaluation:

Grades will be based on the weighted value of points earned on various exercises used for evaluation purposes. The final grades may be adjusted at the discretion of the instructor. The course grading scale is 90+ A, 80-90 B, 70-80 C, 60-70 D, below 60 F.

There will be a total of three examinations.  Each exam will be worth approximately 200 points unless noted by the instructor at exam time. The exams will be composed approximately 35% True/False questions, 35% Multiple Choice Questions, and 30% Problems.  The instructor will develop the exams based on approximately 15% from the computer projects, 35% from the problems assigned, 35% from material discussed in class, and 15% from material assigned but not discussed in class. Each True/False and Multiple Choice question will be worth approximately five (5) points, while each Problem will be worth approximately ten (10) points.  Answers to the problem questions should include but not be limited to all formulas, calculations, and supporting logic.  Answers alone will not receive full credit.  A minimum of a two (2) point deduction will be assessed for any math errors in a problem.   Unless otherwise noted, each student will be permitted to use one 8 1/2 by 11 inch sheet of notes (both sides only).  The sheet of notes cannot be taped, glued, or stapled together and cannot have any sticky dotes, taped notes, or glued notes attached.  If the instructor finds a sheet of notes not conforming, the sheet of notes will be confiscated and the student will be required to finish the exam without the sheet of notes.  A non-programmable calculator will be allowed during the examinations. Any tables that are required for the exam will be provided.

      team project.

Multiple Regression: The instructor will provide each team with a write-up for

                                     this project.  The write-up will include the necessary

                                     information and data for the team to perform the analysis. 

                                     The team can utilize the information (i.e. formulas) in

                                     Chapters 11 to 13 and any outside sources to assist in

                                     project development.

10. Class time will be provided for the teams to meet and discuss their project.  Also,

      the teams can ask questions of the instructor at this time.

There will be various problems assigned from each chapter and each problem will be worth five (5) points. All problems will be discussed in class with a student doing each problem.  The problems will be turned in on the due date (as shown in the course schedule) with the student making a copy for discussion. Class time will be provided for the students to discuss the problem assignments.  A cover sheet is to be used when turning in problems.

There will be various computer projects assigned from each chapter in the Microsoft Excel book.  Each computer project will be worth approximately fifty (50) points. Each computer project will be discussed on the date assigned and the results are to be handed-in on the due date (as noted in the course schedule).  A cover sheet is to be used when turning in computer projects.

Exchange of Ideas: The class discussions will emphasize the exchange of ideas

          that will cover the important points of the material assigned.  The

          exchange of ideas will be done through the analysis of questions,

          course materials and problems.  The instructor and/or the students   

          will expand the information discussed to demonstrate how the

          points relate to today's business operations.  The student is

          responsible for all the material assigned, whether covered in class or

          not covered in class.

Withdrawal from Classes: If, for any reason, a student should withdraw from this class,

      the student needs to do it officially. Otherwise you will

      receive an "F" for the course. Your instructor will not

      authorize withdrawals after the third week of classes.

  Student with Disabilities: In accordance with University policy, if you have a

      documented disability and require accommodations to obtain  

      equal access in this course, please contact the instructor at

      the beginning of the semester or when given an assignment

      for which an accommodation is required. Students with

      disabilities must verify their eligibility through the Office of

      Student Disability Services (SDS) in the Michael Schwartz

      Service Center (672­-3391).

Instructor:  Dr. James H. Hamburg

Course:      Statistics for Management, BAD 74005/64005

Semester:   Fall, 2006

Date:          7/11/06

Phone Numbers Student Can Be Reached:  Day: _____________        Night: ____________

Fax Number:                Home: _______________       Work: _____________________

E-Mail: Work: ____________________________   Home: ________________________

School: ___________________________

MBA?              YES     NO                              PhD?                YES     NO

Degree Program/Concentration: _________________________

Are you employed?      YES        NO

If employed: Company Name: _________________________

Position Title: _______________________________________

Job Description/Duties: ____________________________________________________

Do you use computers in your job?                   YES     NO

Do you use Microsoft Excel in your job?           YES     NO

Are you familiar with any statistical computer packages other than Excel?           YES     NO

If yes, which packages: ___________________________________________________

No. of credit hours completed prior to this class: ________

How many hours of course work have you registered for this fall? __________

Do you have access to a PC outside of school? (Circle all that apply)

No                   Home               Work               Own                 Other____________

How comfortable are you with PC’s?

Very                 Moderately                   Struggle Quite a Bit                   First Time User

How knowledgeable are you with Microsoft Word or other word processor?

Very                 Working Knowledge                General Knowledge                  None

How knowledgeable are you with Microsoft Excel?

Very                 Working Knowledge                General Knowledge                  None   

List All Previous Statistical Coursework Taken:

What do you want out of this course besides an A?