UMUC-EUROPE GRADUATE PROGRAMS
BOWIE STATE UNIVERSITY

MGMT584 Syllabus

Course Title Management Statistics
Term TERM 5, 2005/2006
Education Center HARROGATE-GRAD
Faculty Member Kenneth Kovach - kkovach@faculty.ed.umuc.edu

Faculty Contact Information:

Term 5, 2005/2006
4 June – 28 July 2006
Weekends (Sat & Sun)
RAF Menwith Hill (Harrogate)
0900-1600 hours
Room: TBA (Check w/Field Rep)

Dr. Ken J. Kovach kkovach@faculty.ed.umuc.edu
PSC 37, Box 3414 kjkovach@aol.com
APO AE 09459

Consultation:

After class or upon appointment during weekend visits. Coordinate with Field Rep, if needed.

Required Texts and Readings:

Text used exclusively in this course --

Williams, T.A., Sweeney, D.J., & Anderson, D.R. (2006). Contemporary business statistics with Microsoft Excel, (international student ed.). Mason, OH: Thomson South-Western.

Texts used in multiple courses --

American Psychological Association. (2001). Publication manual of the American Psychological Association, (5th ed.). Washington DC: Author.

Supplementary Readings:

All graduate students should be prepared to utilize the UMUC online library at http://www.umuc.edu/library/. The library contains a large number of full text academic journals that are free of charge and immediately available. The library homepage also contains a number of links related to improving students' research and writing skills.

Student will need:
- a handheld calculator with the capability to do exponentiation, roots and handle 2 variables x & y (the TI-30X IIB currently available at AAFES for ca. $12.95 is adequate);
- access to a personal computer with MS-Excel installed (either your home computer, your work computer with permission from your supervisor, or use the hardware and software at a UMUC computer lab). The use of a computer is highly recommended for working with larger data files assigned as homework and supplied on CD-ROM with the text book.

Optional:
- manuals for Texas Instruments calculators can be found at:
http://education.ti.com/us/global/guides.html
- reference book on MS-Excel

Recommended Journals:

A variety of full-text, online, free-of-charge and pay-per-view academic journals are listed on the PA Webboard (http://webboard.ed.umuc.edu/~pa). In addition, the following websites are very useful:

http://www.census.gov
http://www.fedstats.gov 

Course Description:

Prerequisites: The equivalent of College Algebra or permission of the Program Director.Provides the knowledge necessary to interpret published research results and to permit elementary research in business and public administration. Content includes: descriptive statistics, probability, estimation, hypothesis testing, ANOVA, sampling, correlation, linear regression and multiple regression.

Course Goals:

As one of two research methods courses in the MPA program, this course provides graduate students with the conceptual and practical tools to develop proposals for and conduct non-experimental research projects, policy analyses, and program evaluations, as well as to evaluate and incorporate the implications of published reports into their practice as professionals. Upon completion of the course, participants should have an understanding of:
  1. Research methods as used in management settings.
  2. Quantitative research approaches.
  3. The of previous research and related literature.
  4. The process of hypothesis formulation and testing.
  5. Descriptive and inferential statistics.
  6. Data requirements for statistical procedures.
  7. Ethical considerations and constraints.
  8. The role of information technology in quantitative research and statistical analysis.

Course Objectives:

At the conclusion of this course the student will be able to:
  1. Determine when quantitative approaches are necessary and appropriate
  2. Interpret quantitative research
  3. Apply various inferential statistical tests
  4. Develop sampling and data collection techniques
  5. Utilize descriptive statistics to report findings
  6. Define ethical and legal constraints on research
  7. Present research findings in written and graphic or oral formats
  8. Analyze the application of information technology in research

Grading Information:

Grades for this course will be assigned as follows:

A 90 – 100 points
B 80 – 89 points
C 70 – 79 points
F Below 70 points

Please note that Bowie State University does not use "D" for graduate students. The grade F is used to designate academic failure. F(n) is used to designate failure for non-completion.  Grades of Incomplete or Withdrawal are governed by UMUC-Europe policies. For further details, please refer to the UMUC-Europe Graduate Catalog. Hard copies of the catalog are available in your local Education Center.

Course Requirements:

Graduate school at the masters level focuses on helping students obtain the education needed for success as professionals in their chosen fields. Thus, UMUC-Europe Graduate Programs and Bowie State University share the common goals of promoting excellence in academic scholarship through thoughtful inquiry and the skillful application of knowledge and theory for the betterment of society. In order to maximize your graduate educational experience in general and this course in particular, the following are required:

Participation     15 points
Tasking                25 points
Midterm Exam              30 points
Final exam                  30 points
Total 100 points

Participation: The student is expected to participate regularly in discussions and complete taskings assigned. Participation score will be objectively and subjectively assessed at the end of the course by the instructor.

Tasking: One major tasking will involve development of a research report involving plannign to collect data or actually collecting data and using the data in a statistical framework. Details will be provided durign the firts class. The purpose of this task is to apply concepts being studied.

Exams: A midterm and final will be use to assess student knowledge and understanding on the chapters assigned and on topical issues presented during the class. The final will only involve material from the midterm.

Description of Course Requirements:

Successful graduate students in American universities dedicate approximately three hours of preparation/study time for every hour spent in the face-to-face classroom. Thus, the following course requirements were developed on the assumption that students would be prepared to spend approximately 150 hours of their own time working on them. In an 8-week term, that is the equivalent of a half-time job. Most 14-week graduate distance education courses require at least 10 hours per week of dedicated time, plus time spent in the virtual classroom. 

Participation and homework: The student is expected to participate regularly in discussions and complete homework and class assignments on time. A participation score will be assessed based on a student’s active contribution to class discussions. A student must be prepared to discuss and work with readings during the session in which they are assigned; you must read ahead to be prepared for class.

Every class meeting is important. The student is responsible for material covered and assignments missed during an absence. It is the student’s responsibility to coordinate make up work.

The case problems are based on larger data sets available to the student on the CD-ROM supplied with the textbook. MS-Excel computer software is required to access the data on the CD. In each assignment, the case problem requires problem solving with statistical calculations and some analysis. The analysis is often as simple as answering three questions associated with the case problem. Even so, it is expected that the successful student will respond in complete sentences, organizing their responses, citing sources where necessary, and using correct standard English. Data, calculations, and tabular results may be presented either as computer-generated output (preferred) or in neatly organized and accomplished hand writing. Pages 122-205 of the 5th edition of the APA manual are especially useful in this course and should be followed in your term paper. Section 3.7. of the manual (pages 174-175) is of critical importance for those wishing to avoid charges of plagiarism. Resubmission of course work from previous classes (whether or not taken at UMUC, UMUC-Europe or BSU), partially or in its entirety, is not acceptable in this course and will result in an automatic failure on the assignment.

Exams: This course requires multiple exams designed to insure that students are acquiring the skills and knowledge necessary for a passing grade. It is the student’s responsibility to coordinate make up exams.
  
The instructor reserves the right to modify the class schedule based on needs of the students and class progress in consonance with course objectives. Computer software [Excel, etc.] may be used for homework assignments and case problems; but no computer aids will be allowed on exams. Handheld calculators are the basic tool for both homework and exams.

Course Schedule:

Course Schedule:
This schedule presents sixteen (16) Weekend Sessions, with each unit corresponding to a regular half-day on weekends.
Sessions Topic
1-4 Data & Statistics
(10/11 June) Descriptive Stats
Probability
Assignment:
For this and future weekly work, review all course materials and complete any problems assigned. Read Ch 1 and complete Ch 1 problems 5, 7, 11, & 17. Read Ch 2 and complete Ch 2 problems 5, 11, & 43 and Ch 3 problems 5, 11, 13, 25, 31, 47, and 57. Read Ch 4 and complete Ch 4 problems 3, 7, 19, 27, and 31. These will be reviewed in class and discussions on their meanings will be held.

5-8 Probabilities, Discrete & Continuous
Sampling and Sample Surveys
(24/25 June) Interval Estimation

Assignment: Read Chapters 5 & 6. Complete Ch 5 problems 9, 15, 21, 27. Complete Ch 6 problems 3, 11, 17, 23. For Ch 6, only review the binomial, uniform, and normal distribution. Read Chapters 7 & 18. Complete Ch 7 problems 5, 15, 21, and 27. Complete Ch 18 problem 21. Read Ch 8 and complete CH 8 problems 3, 7, 13, & 23. Review for Midterm on Chs 1-8 & 18.

9-12 Midterm Exam
(15/16 July) Hypothesis Testing
Statistical Inferences
Chi Square tests
ANOVA
Assignment: Complete Midterm Exam. Read chapter 9 and work Ch 9 problems 3, 7, 19, 29, and 51. Read chapter 10. Complete Ch 10 problems 3, 7, 13, and 17. Read chapter 12. Complete Ch 12 problems 7, 13, and 15. Read chapter 13. Complete Ch 13 problems 3 and 7.

13-16 Simple Linear Regression
(29/30 July) Nonparametric Methods
Student Presentations
Assignment: Read chapter 14 and complete Ch 14 problems 5 and 9. Read chapter 17 and complete Ch 17 problems 3, 15, 21, 27, and 33. Conduct a Review of all topics since the Midterm and prepare for Final and student presentations. Also, your Tasking report is required on 30 July 2006.

Academic Policies:

The University has a license agreement with Turnitin.com, a service that helps prevent plagiarism from internet resources. I may be using this service in this class by either requiring students to submit their papers electronically to Turnitin.com or by submitting questionable text on behalf of a student. If you or I submit part or all of your paper, it will be stored by Turnitin.com in their database throughout the term of the University's contract with Turnitin.com. If you object to this temporary storage of your paper, you must let me know no later than two weeks after the start of this class. Please Note: If you object to the storage of your paper on Turnitin.com, I may utilize other services to check your work for plagiarism.  

The official university policy on Plagiarism and Academic Dishonesty can be found at http://www.umuc.edu/policy/aa15025.shtml. Section I.C. states: Faculty may determine if the resubmission of course work from previous classes (whether or not taken at UMUC), partially or in its entirety, is acceptable when assigning a grade on that piece of course work. Faculty must provide this information in their written syllabi. If the resubmission of course work is deemed to be unacceptable, a charge may not be brought under this Policy and will be handled as indicated in the written syllabi.

Please refer to Description of Course Requirements for specific information on how resubmissions will be treated in this course and to the UMUC-Europe Graduate Catalog for information on the following:

Academic Integrity
Course Load
Exception to Policy
Grade Appeal Process
Make-up Examinations
Nondiscrimination
Students with Disabilities

Hard copies of the catalog are available at your local Education Center.

Faculty Bio:

Dr. Ken J. Kovach has been with UMUC since 1993, teaching a variety of subjects to include research & statistics, management, business statistics, managerial leadership, and others, as well as with several other colleges and universities in a variety of subjects (over 500 course completions). Ken previously served 23 years in the U.S. Air Force, first enlisted, then commissioned. Major duties involved airborne command post, aerial delivery, command staff, logistics management, operations, plans, and transportation.
Within distance education, he has continuously taught over the Internet since 1995 after developing graduate and undergraduate courses for Embry-Riddle Aeronautical University and a business management program for the National Business Aviation Association. He has developed research guidelines for several universities and has served as Research Advisor and Committee Chair for graduate research projects. Additionally he acts as Referee for The Journal of Aviation/Aerospace Education & Research and is an active member of Phi Gamma Sigma, as well the American Statistical Association, the American Counseling Association, and the Institute of Transport Administration. His recent publication was Corporate Aviation Management.
Ken’s bachelor’s of science was from the University of Tennessee in business, master of arts in guidance and counseling from Wayne State University, and doctorate of education in higher education from Nova University (Now Nova Southeastern). He has a British wife and two educated daughters.


Last updated by Kenneth Kovach: April 19, 2006, 10:46 am edgradpa
Find this syllabus linked from the schedule at: http://www.ed.umuc.edu/schedule