BUSINESS ADMINISTRATION

NON-PARAMETRIC STATISTICS

64013/74013 Summer I 2009

Instructor:              Dr. David Booth

Office:                   A428 BSA

Phone (Office):     672-1143

Office Hours:        MT 2-5 pm and by appointment

e-mail: dbooth@kent.edu

Please note that if I am not in my office at these times you will find a note on my door telling you where I am. Please then go to that location to see me. Please feel free to call me or leave a note in my mailbox if you need to contact me.

Textbook: S.J. Richter & J.J. Higgins, A SAS Companion for Nonparametric Statistics, Duxbury

E. S. Keeping, Intro. To Stat. Inference, Dover, Class Handouts

Course objectives:

At the end of the course the student will have:

1)      Learned the basic methods of nonparametric statistics, both classical & modern.

2)      Learned to apply these basic techniques to real situations

These skills will prepare you for more advanced work in your major, either in college or on the job.

Attendance and Make-up Policy:

In general, students are expected to attend class and are responsible for any material discussed and/or assigned. With respect to make-up, the general policy is no make-up of missed work (including exams) is allowed, and no late work will be accepted. The only exceptions are:

1)      A prearranged situation (e.g., course field trips, athletic trip, etc.)

2)      Emergency illness, death in the family, etc., in this case the instructor should be notified as soon as possible.

3)      Contact the instructor early

Performance Evaluation:

There will be 1 hourly examination, worth 100 points and class assignments to be turned in. Exam formats will be open book and notes.

There will be a term paper on a nonparametric or semi-parametric method, of your choice, that is approved by the instructor. Get approval early. In general, this topic should not have been covered in the course lectures. The purpose of this paper is to help you in the future when you have to use a new statistical method.  The method must be implemented in SAS or R, if possible (discuss with the instructor), using a real data set and a complete journal style paper submitted. The paper will be worth 100 points.

Academic dishonesty, in all forms, is prohibited. All material handed in is in the public domain. This syllabus is a guide, not an absolute contract. The grading scale is 90+ A, 80+ B, etc.

Students 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 Accessibility Services (SAS) (672-3391).

Tentative Course Outline