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SYLLABUS

University of Maryland

Maryland in Europe

Bowie State University

Course Number: MGMT 584

Term: IV (26 Mar - 16 May 2001)

Instructor:

Dr. Ken J. Kovach

100 MSS

PSC 37, Box 3414

APO AE 09459

Availability:Upon appointment

or after class.

KJKovach@cs.com

Home phone/fax: 01353-860671

Office: Field Rep

Course Title: Management Statistics

Credit Hours: Three

Course Text: Anderson, D.R., Sweeney, D.J., & Williams, T.A. (1999). Statistics for Business and Economics. (7th ed.). New York: West Publishing Company. ISBN 0-324-00181-9

Supplemental Materials: American Psychological Association. (1994). Publication manual of the American Psychological Association (4th ed.). Washington DC: Author.

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.

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.

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

- 20 points

A = 90-100 pts

 

Exam A

- 30 "

B = 80- 89 "

 

Exam B

- 25 "

C = 70- 79 "

 

Exam C

- 25 "

F = below 70"

 

 

100 points

 

Instructor Assessment: Involves assessment of a student's active discussion, positive attitude for learning, and communicative/cooperative efforts. Chapter exercises are designated for completion and review Case studies may be assigned (Total = 20 points).

Examinations: Three 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, multiple choice items, and essays) based on problem work and discussion . Points as indicated.

WEEK

TOPIC

 

 

1

Orientation/Introduction

(26 & 28 Mar)

Data & Statistics

 

Film: What is statistics?

 

Research

 

APA

Assignments: Read chapter 1 of the course text, also pages 805 and 806. 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

Hypothesis Testing

(2 & 4 Apr)

Sampling

Assignments: Read chapters 7, 9, & 21. Review those end-of-chapter even exercises. Review the Appendices.

3

Sampling

(9 & 11 Apr)

Hypothesis Testing

Open

Research report evaluation

Exam A (11 Apr)

Assignments: Read all chapters previously assigned and review all class work. Prepare for exam.

4

Descriptive Statistics

(16 & 18 Apr)

Probability

Assignments: Read chapters 2 through 4

.

5

Probability

(23 & 25 Apr)

Exam B (25 Apr)

Assignments: Read chapters 2 through 6. Prepare for exam

.

6

Inferential Statistics

(30 Apr & 2 May)

Interval Estimation

T-tests

Assignments: Read chapters 8 through 10.

7

Chi-Square Tests

(7 & 9 May)

ANOVA

Review

Assignments: Read chapters 12 and 13. Complete any required course work.

8

ANOVA

(14 & 16 May)

Linear Regression

Exam C (16 May)

Assignments: Read Chapters 13 and 14. Review all other course work.

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