SYLLABUS

University of Maryland

Maryland in Europe

Bowie State University

                                                              

 

Course Number:  MGMT 584

Term:  V (3 June –26 July 2002)

 

Instructor:   Dr. Ken J. Kovach                Availability: Upon appointment or after class

                   100 MSS                                                                                      . 

                   PSC 37, Box 3414                        KJKovach@aol.com

                   APO AE 09459                            Home phone/fax:  01353-860671

                                                                        Office: Field Rep

 

Course Title:  Management Statistics

Credit Hours: Three (3)

 

Course Text:  Anderson, D.R., Sweeney, D.J., & Williams, T.A.  (2002).  Statistics for Business and Economics.  (8th ed.).  New York:  West Publishing Company. ISBN 0-324-06671-6

 

Meetings:  Mondays & Wednesdays. Room TBA at RAF Lakenheath

(1800-2100 hours).  Contact your field representative for room assignment prior to first class.

 

Course Description:  This course is designed to provide the knowledge necessary to interpret published research results and to permit elementary research in business and public administration.  Content will include: descriptive statistics,  probability, estimation, hypothesis testing, ANOVA, sampling,  correlation, linear regression, and multiple regression.

 

`Course Objectives:  Each student will be able to:

 

            1.  Understand descriptive statistics.

            2.  Use inferential statistics for research in business and public administration.

            3.  Use statistical techniques for forecasting and prediction.

            4.  Use multivariate statistical techniques in business and public administration.

            5.  Use probabilities in decision-making.

            6.  Analyze and interpret published research results.

            7.  Understand theory and decision analysis.

            8.  Understand how statistics allows one to draw inferences from a sample to a  population.

            9.  Discuss research designs and procedures.

10.    Use sampling techniques.

 

Teaching Method:  This course will be conducted in an informal and open style.  Individual discussion and review of homework assignments will provide the basis for learning the material. Classroom exercises will supplement these

activities.  Visual aids, to include overheads and videos, will be supplemental.  The focus will be on three topics: (a) research, (b) descriptive statistics, and (c) inferential

statistics. Chapter problems will be used to practice statistical techniques.

 

Class Policies:  The student is expected to have read and completed any assigned readings and work problems/items prior to each session.  Academic integrity and proper student decorum are required at all times.  The instructor reserves the right to alter the course program based upon the needs of the students and the objectives of the course. Any alteration will be announced prior to the class in question. Class policies will be discussed during the first class, to include completing work for missed or late classes.

 

Grading:          Instructor Assessment               25 points          A  = 90-100 pts

            Midterm Exam                          40  "                 B  = 80- 89  "

                        Final Exam                               35  "                 C  = 70- 79  "

                                                                        ------------      F  = below 70"

                                    100 points

 

Instructor Assessment: Involves assessment of a student's active discussion, practice work problems, case study work, positive attitude for learning, and communicative/cooperative efforts.  Chapter exercises are designated for completion and review  Case studies may be assigned. Missed class work can be made up by completing instructor approved work; however, this makeup will be approved only for duty or extenuating personal circumstances. Personal leave or other non-duty or emergency related activities are not grounds for approval. (Total = 30 points).

 

Examinations:  Two examinations (open book) will be required.  Each will include material learned during the previous sessions.  Each exam will be of mixed type (i.e.,  short answer items and work problems) based on problem work and discussion.

 

 

WEEK           TOPIC

 

1                                  Orientation/Introduction                                                                            

(3 & 5 June)                 Data & Statistics

                                    Film: What is statistics?

                                    Research

                                    APA

 

Assignments:  Read chapters 1, 2, & 3 of the course text.  Review all Appendices, especially Appendix C. Review and practice the end-of-chapter even exercises, and all self-test items.  Also, review the terms listed at the end of the chapter. This concept and requirement prevail throughout your chapter studies. Review research reports which are of interest.

 

2                                  Probability                                                                                                

(10 & 12 June)            

                   

Assignments:  Read chapters 4,5, & 6. Review those end-of-chapter even exercises. Review the Appendices.

3                                  Sampling

(17 & 19 June) Interval Estimation                   

                                   

Assignments:  Read chapters 7 & 8 and accomplish chapter problems as prescribed.

 

4                                  Hypothesis Testing

(24 & 26 June)             Review

                                    Open

                                    Midterm exam (26 Jun)

 

Assignments:  Read chapter 9 and review all work to date.

 

 

5                                 

(1 & 3 July)                  Statistical Inference

                                    Chi-Square tests

Assignments:  Read chapters 10 and 12 and accomplish chapter work as prescribed.

 

 

6                                 Inferential Statistics

(8 & 10 July)                ANOVA

 

Assignments:  Read chapter 13. Practice chapter problems and accomplish work scheduled.

 

7                                  Forecasting

(15 & 17 July)             

                       

Assignments:   Read chapters 18. Complete any required course work.

 

 

8                                  Open

(22 & 24 July)             

                                    Final Exam  (24 July)

 

Assignments: Review all assigned chapters and other course work assigned.