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MA 120 Basic Concepts of Statistics
DeWispelare, Aaron R.


Mission Statement: The mission of Park University, an entrepreneurial institution of learning, is to provide access to academic excellence, which will prepare learners to think critically, communicate effectively and engage in lifelong learning while serving a global community.

Vision Statement: Park University will be a renowned international leader in providing innovative educational opportunities for learners within the global society.

Course

MA 120 Basic Concepts of Statistics

Semester

S1T 2011 DLE

Faculty

DeWispelare, Aaron R.

Title

Professor/Adjunct Faculty

Degrees/Certificates

Ph.D. Systems Engineering, University of Virginia
M.S. Systems and Electrical Engineering, Air Force Institute of Technology
MBA Xavier University; B.S., Mechanical Engineering;  B.S. Electrical

Office Location

Online

Office Hours

8:00 - 5:00 M-F

Daytime Phone

830-981-2357

Other Phone

Cell: 210-416-5292;  Fax: 775-628-0413

E-Mail

aaron.dewispelare@park.edu

adewisp@gvtc.com

Semester Dates

S1T 2011: January 10, 2010 to March 6, 2011

Class Days

Online

Class Time

Online

Credit Hours

3


Textbook:

 
Your tuition for the course includes the e-book version of the textbook.

If you wish to have a hardcopy version of the text you may order it from MBS, the Park online bookstore at http://direct.mbsbooks.com/park.htm.

OPTIONAL:
Hardcopy Text:
Elementary Statistics, 11th Ed. w/Multimedia Study Guide 
Author: Mario F. Triola
Publisher: Addison-Wesley
ISBN: 9780321500243



 


 
Links in the course are provided for downloading required FREE software for the multimedia presentations of the course. 

PLEASE NOTE: It is expected that you will have access to a scientific calculator.  You will not be allowed to use a programmable, graphing, or statistical calculator on your final exam, nor will you be able to use a computer, so you will need to take a hand-held scientific calculator with you for the final exam.  I suggest you use the same calculator throughout the course.  Then you will be familiar with it and will avoid having to learn how to use a new calculator at final exam time.
 
I do not have a brand requirement, but the cost of most brands run about $10 - $15 and can be found in office supply stores or department stores.

Textbooks can be purchased through the MBS bookstore

Textbooks can be purchased through the MBS bookstore

Additional Resources:
 Online Tutoring Services - Park University has arranged for Online students to receive five hours of free access to Online tutoring and academic support through Smarthinking. If you would like Online tutoring, please contact your advisor to receive their recommendation and information on how to access the Online tutoring.

McAfee Memorial Library - Online information, links, electronic databases and the Online catalog. Contact the library for further assistance via email or at 800-270-4347.
Career Counseling - The Career Development Center (CDC) provides services for all stages of career development.  The mission of the CDC is to provide the career planning tools to ensure a lifetime of career success.
Park Helpdesk - If you have forgotten your OPEN ID or Password, or need assistance with your PirateMail account, please email helpdesk@park.edu or call 800-927-3024
Resources for Current Students - A great place to look for all kinds of information http://www.park.edu/Current/.
Advising - Park University would like to assist you in achieving your educational goals. Please contact your Campus Center for advising or enrollment adjustment information.
Online Classroom Technical Support - For technical assistance with the Online classroom, email helpdesk@parkonline.org or call the helpdesk at 866-301-PARK (7275). To see the technical requirements for Online courses, please visit the http://parkonline.org website, and click on the "Technical Requirements" link, and click on "BROWSER Test" to see if your system is ready.
FAQ's for Online Students - You might find the answer to your questions here.


Course Description:
MA120 Basic Concepts of Statistics (GE): A development of certain basic concepts in probability and statistics that is pertinent to most disciplines. Topics include: probability models, parameters, statistics and sampling procedures, hypothesis testing, correlation and regression. 3:0:3

Educational Philosophy:
Each week we will focus on the various aspects of statistics from the basic terms of the discipline, through descriptive and initial inferential techniques. The course will be conducted through a combination of reading assignments, with associated topical weekly discussion questions which are posted on the appropriate public discussion threads, weekly graded homework, and weekly graded quizzes, and a proctored comprehensive final exam. This course will build on each week’s concepts so it is important to keep up. Ask your fellow students in the Study Group postings for input if you get stuck on concepts, or ask me in an e-mail. I will try to comment on the Discussion threads and Work Group postings from time to time, but leave most of the interaction up to you, the students, to interchange ideas and tutor each other (that is the most effective way for all of us to learn together without too much of an intimidation atmosphere that my constant presence can bring).

Learning Outcomes:
  Core Learning Outcomes

  1. Compute descriptive statistics for raw data as well as grouped data.
  2. Determine appropriate features of a frequency distribution.
  3. Apply Chebyshev's Theorem.
  4. Distinguish between and provide relevant descriptions of a sample and a population.
  5. Apply the rules of combinatorics.
  6. Differentiate between classical and frequency approaches to probability.
  7. Apply set-theoretic ideas to events.
  8. Apply basic rules of probability.
  9. Apply the concepts of specific discrete random variables and probability distributions.
  10. Compute probabilities of a normal distribution.
  11. Compute confidence intervals of means and percentages.
  12. Perform hypothesis tests involving one population.
  13. Compute regression and correlation of Bi-variate data.


Core Assessment:

Description of MA 120 Core Assessment


 


One problem with multiple parts for each numbered item, except for item #3, which contains four separate problems.


 


1.         Compute the mean, median, mode, and standard deviation for a sample of 8 to 12 data.


 


2.         Compute the mean and standard deviation of a grouped frequency distribution with 4 classes.


 


3.         Compute the probability of four problems from among these kinds or combinations there of:


            a.         the probability of an event based upon a two-dimensional table;


            b.         the probability of an event that involves using the addition rule;


            c.         the probability of an event that involves conditional probability;


            d.         the probability of an event that involves the use of independence of events;


            e.         the probability of an event based upon permutations and/or combinations;


            f.          the probability of an event using the multiplication rule; or


            g.         the probability of an event found by finding the probability of the complementary event.


 


4.         Compute probabilities associated with a binomial random variable associated with a practical situation. 
  
5.         Compute probabilities associated with either a standard normal probability distribution or with a non-standard normal probability distribution.

6.         Compute and interpret a confidence interval for a mean and/ or for a proportion.

Link to Class Rubric

Class Assessment:

THE COURSE LEARNING ACTIVITIES

Introductions - By the end of the first week of the course submit a short paragraph to introduce yourself, and respond to someone else's introduction

Each week you will have these regular learning activities:

Reading – Read the assigned chapter sections in your textbook 

Lecture –
Read the Content Lecture Files contained within the course

Media - View videos, flash files, and PowerPoint presentations

Webliography - Enhance the learning experience with varying presentations and examples of the weekly topics beyond the course lectures, textbook, and MyMathLab 

Discussions - Answer one question for each week, and post a response to someone else's answer (graded activity). Support your submissions with an academic reference (our text book is fine for such a reference, but remember to include page numbers as part of your citation for all books used as references).

Homework - Complete the MyMathLab weekly homework assignment (graded activity) - the students have access to the homework as many times as they wish each week.

Quiz - Complete the MyMathLab weekly quiz (graded activity) - the students have only a single access to each weekly quiz (the student must finish once they start each weekly quiz - no repeat access for each weekly quiz).

Final Exam - Complete the final exam (open book, open notes) before or in week 8 (graded activity).

Grading:
 

Assignment

Possible Points

Total Points

Total %

Introduction 5 pts

5

0.9

Introduction Response

5 pts

5

0.9

Discussion Answer  

10 pts each

80

13.7

Discussion Response 5 pts each

40

6.8

Homework 15 pts each

120

20.5

Quiz

20 pts each

160

27.4

Final Exam

175 pts

175

29.9

TOTAL

 

585

 


Letter Grade

Letter

Number of Points

Percentage

A

524 - 585

89.5 - 100%

B

466 - 523

79.5 - 89.4%

C

407 - 465

69.5 - 79.4%

D

349 - 406

59.5 - 69.4%

F

000 - 348

00 - 59.4%

 

Late Submission of Course Materials:

It is unfair to other students to allow some individuals to submit assignments after the scheduled due date. Therefore, all assignments are expected to be completed by set deadlines. An exception to the rule is a 24 hour extension provided only for thread postings; but using it will mean you will be assessed with a 50% penalty on earned points for the assignment. The only other considerations for allowable late assignments are limited to the following valid list of emergency reasons. Please note even these reasons are only acceptable at the discretion of your instructor.

  • A medical emergency or a serious acute illness by the student themselves. All medical emergencies and illnesses must be verified by a note on letterhead by an M.D., D.O., P.A., or R.N. I will not normally accept a note from other health professionals (e.g., Ph.D., MSW, D.C., Physical Therapist) because their professional functions rarely involve medical emergencies or acute illnesses. I will accept late work for students who can provide evidence of a verified medical emergency (but not acute illness) involving a child, spouse, parent, sibling, or grandparent.
  • An Accident or Police Emergency of the student themselves. I will require an accident report or note on letterhead from an appropriate law enforcement officer to accept late work due to accidents or police emergencies (e.g., assault on student, student taken hostage, detained witness of a crime).
  • Unforeseen Jury or Witness Duty of the student themselves. I will require a note on letterhead from a judge or attorney stating you had no advance notice of duty to accept late work due to jury or witness duty.
  • Unforeseen Military Deployment or Activation of the student themselves. I will require a note on official letterhead from your commanding officer stating you had no advance notice of deployment or activation.
  • Funerals for Immediate Family Member (e.g., parents, siblings, grandparents, aunts/uncles, first cousins). I will require a copy of the obituary or a note from a minister or funeral director.

Classroom Rules of Conduct:

Computer literacy is expected:  You are expected to have sufficient access to a personal computer with access to the Internet, an approved web browser, and to use your PARK e-mail account.  Please do not request special allowances if you do not have a way to access the course or your PARK E-MAIL.

Policy #1:
 Submission of Work.

A class week is defined as the period of time between Monday 12:01 AM EDT and Sunday at 11:59 PM EDT. Eastern daylight time (EDT) is the universal time standard for this course since I have students from all over the world and need a time standard. Note that EDT is not shown on the clock at the course web site (that time is Central time (CT) since that is where the eCollege server is located).   Please make sure you adjust your class work schedule to meet the EDT deadlines.)  The first week begins the first day of the term.  I will set the remaining links for content and assignments to begin on the following Saturday.  For students who can only complete coursework on weekends, this will allow you at least seven days for viewing and completing the coursework.  You must remember the extra days are added onto the beginning of the week, not the end.  Therefore, assignments scheduled for completion during a class week should be completed and successfully submitted by the posted due date.  NO EXTENSIONS WILL BE MADE FOR MISSED DEADLINES, and lack of a book at the beginning of the term is not an excuse for late submissions. In order to protect the integrity of grading in the course, no extra credit assignments or credit will be given during and at the end of the course. Also, remember to support all original discussion question and fellow student discussion submissions with an acedemic reference to add credibility to your stance. Our text book is sufficient as a source for academic references for the both types of discussion questions. APA academic style is promoted by the University, so please use it for all references (this means providing page numbers for books [including our text book], and full URL links to sources found on the internet (but don't use wikipedia since it has been found to contain many errors and is no longer accepted as a credible academic source).

Create a back up file of every piece of work you submit for grading. This will ensure that a computer glitch or a glitch in cyberspace won't erase your efforts.

Please don't attach any files to the discussion threads as other students and your professor usually don't have all the formats that some students have. Use the suggestions and shortcuts for constructing math equations - we will all adjust so that we can read them in the discussion threads.  

 Policy #2:  Ground Rules for Online Communication & Participation.

General email: You should use email for private messages to me and your classmates. When sending me an email, you must identify yourself fully by course number, section letters, and first and last name in the SUBJECT LINE of your email: MA120 DLE, your first and last name.  PLEASE DO THIS ON EVERY EMAIL THROUGHOUT THE ENTIRE TERM.  

Threaded discussions: are public messages and all writings in this area will be viewable by the entire class.

Instructor Response Policy:  I check my email frequently and respond to course-related questions within 24-48 hours.  Seldom a day goes by that I am not reading and responding to emails and thread postings.

Observation of "Netiquette": All your online communications need to be composed with fairness, honesty and tact.  Spelling and grammar are very important in an online course.  What you put into an online course reflects on your level of professionalism.  Here are a couple of Online references that discuss writing Online http://goto.intwg.com/ and netiquette http://www.albion.com/netiquette/corerules.html.  PROOF READ AND USE THE SPELL CHECK TOOL FOR ALL THREAD POSTINGS.

Policy #3:
 What to do if you experience technical problems or have questions about the online classroom.  

If you experience computer difficulties (need help downloading a browser or plug-in, you need help logging into the course, or if you experience any errors or problems while in your online course, click on the HELP button in your online classroom, then click on the helpdesk menu item, and then fill out the form or call the helpdesk for assistance.  (I HIGHLY SUGGEST YOU JOT DOWN THE PHONE NUMBERS OF ECOLLEGE AND PARK HELPDESK FROM THE WEBSITES NOW. In case you cannot enter the course or Park websites later you will have the numbers to call.)

Course Topic/Dates/Assignments:

This course provides an introduction to the world of statistical analysis. Each week we'll focus on different aspects of the general topic.

In Unit 1 we'll learn what the topic of statistics entails. We'll discuss some ways to collect the needed data for a statistical study. By the end the unit we'll have a view of how the two distinct divisions of statistics, descriptive and inferential, are related.

In Unit 2 we'll discover how to convert pure data into corrupted data, also referred to as ungrouped data into grouped data. Then we will examine some of the many ways data can be visually displayed graphically.

In Unit 3 we will examine ways to describe data by looking at its central tendency, its variation from its center, and how to determine the location of an element within a data set. A method of finding the proportions of variation a data set possesses will also be covered.

In Unit 4 we'll explore the basic concepts of probabilities, the branch of mathematics that allows us to take a sample and make predictions about the population from which it was derived. We'll strive to gain a fundamental understanding of probability through its addition, multiplication and counting rules.

In Unit 5 we combine the probability concepts and the statistical concepts we previously learned to construct discrete probability distributions. Then we'll learn how to find statistics of the distribution. The unit ends with a discussion on a specific discrete probability distribution called the binomial distribution.

In Unit 6 the discussion changes from discrete distributions to continuous random variable distributions. We begin looking at the Normal distribution and then quickly moving on the the Standard Normal distribution. We conclude the unit by learning how the Central Limit Theorem can be applied to sample data sets.

In Unit 7 we move into inferential statistics. We learn how to use a sample mean to estimate the population mean, and how we can confidently report its value within a specific interval.

In Unit 8 we will examine the basics of hypothesis testing by using one-sample procedures for the hypothesis test of the population mean. In addition we will conclude our examination of topics in statistics by discussing the purpose of regression and correlation analysis. First, we'll examine some introductory terms, then focus on simple linear regression analysis and simple linear correlation analysis. During this final week of the course you will also complete the proctored Final Exam and the Course Evaluation.

Academic Honesty:
Academic integrity is the foundation of the academic community. Because each student has the primary responsibility for being academically honest, students are advised to read and understand all sections of this policy relating to standards of conduct and academic life. Park University students and faculty members are encouraged to take advantage of the University resources available for learning about academic honesty (www.park.edu/current or http://www.park.edu/faculty/).from Park University 2010-2011 Undergraduate Catalog Page 92
Academic dishonesty includes committing or the attempt to commit cheating, plagiarism, falsifying academic records, and other acts intentionally designed to provide unfair advantage to the students.

Cheating includes, but is not limited to, intentionally giving or receiving unauthorized aid or notes on examinations, papers, laboratory reports, exercises, projects, or class assignments which are intended to be individually completed.  Cheating also includes the unauthorized copying of tests or any other deceit or fraud related to the student's academic conduct.

Falsifying academic records includes, but is not limited to, altering grades or other academic records.

Other acts that constitute academic dishonesty include:

Stealing, manipulating, or interfering with an academic work of another student or faculty member.

Collusion with other students on work to be completed by one student.

Lying to or deceiving a faculty member.

Plagiarism:
Plagiarism involves the use of quotations without quotation marks, the use of quotations without indication of the source, the use of another's idea without acknowledging the source, the submission of a paper, laboratory report, project, or class assignment (any portion of such) prepared by another person, or incorrect paraphrasing. from Park University 2010-2011 Undergraduate Catalog Page 92-93
ALL GRADED WORK FOR THIS COURSE MUST BE YOUR OWN.  YOU ARE NOT TO RECEIVE OUTSIDE ASSISTANCE FROM ANYONE OTHER THAN YOUR INSTRUCTOR.  To further clarify; classmates, spouses, co-workers, tutors, clergy, librarians, friends, relatives, and pets are included as OUTSIDE ASSISTANCE.  PLEASE DO NOT VIOLATE THIS RULE.

When discussion questions request you to answer in your own words, do not copy words from the textbook as your own.  State YOUR understanding of the concept, not the understanding of some other person.  If you are allowed to quote the textbook, or other sources, you must use proper quotation markings and declare the source including web URL address or book page number from which you copied the text.  Not following these rules constitutes plagiarism, and will not be tolerated.  (This means you will not earn points for the assignment, and if the plagiarism does not stop immediately you will FAIL the course.  Additionally, a report of the incidence will be sent to your permanent academic file.)

Attendance Policy:
Instructors are required to maintain attendance records and to report absences via the online attendance reporting system.

  1. The instructor may excuse absences for valid reasons, but missed work must be made up within the semester/term of enrollment.
  2. Work missed through unexcused absences must also be made up within the semester/term of enrollment, but unexcused absences may carry further penalties.
  3. In the event of two consecutive weeks of unexcused absences in a semester/term of enrollment, the student will be administratively withdrawn, resulting in a grade of "F".
  4. A "Contract for Incomplete" will not be issued to a student who has unexcused or excessive absences recorded for a course.
  5. Students receiving Military Tuition Assistance or Veterans Administration educational benefits must not exceed three unexcused absences in the semester/term of enrollment. Excessive absences will be reported to the appropriate agency and may result in a monetary penalty to the student.
  6. Report of a "F" grade (attendance or academic) resulting from excessive absence for those students who are receiving financial assistance from agencies not mentioned in item 5 above will be reported to the appropriate agency.
ONLINE NOTE: An attendance report of "P" (present) will be recorded for students who have logged in to the Online classroom at least once during each week of the term. Recording of attendance is not equivalent to participation. Participation grades will be assigned by each instructor according to the criteria in the Grading Policy section of the syllabus.

Park University 2010-2011 Undergraduate Catalog Page 95-96

Disability Guidelines:
Park University is committed to meeting the needs of all students that meet the criteria for special assistance. These guidelines are designed to supply directions to students concerning the information necessary to accomplish this goal. It is Park University's policy to comply fully with federal and state law, including Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act of 1990, regarding students with disabilities. In the case of any inconsistency between these guidelines and federal and/or state law, the provisions of the law will apply. Additional information concerning Park University's policies and procedures related to disability can be found on the Park University web page: http://www.park.edu/disability .

Additional Information:
It will be your responsibility to insure that your approved and accepted proctor form reaches me by the end of the sixth week. Ten BONUS points will be earned by all who have an APPROVED AND ACCEPTED proctor form to me before the end of the 3rd week of the term. (Please note: All non-Park proctors must be approved by me before they are sent on to your proctor for acceptance. These two procedures take time, so if you wish to earn these bonus points, you should begin immediately securing a qualified proctor. Then you will have all of the necessary information ready when the online proctor form link is made operational.)



Ten PENATLY points will be assessed on the Final Exam if your proctor form is not submitted to me before the end of the 6th week of the term.



You will receive a confirmation on the approved proctor form at the same time I receive my copy. So, you do not need to send me a copy of the one you receive, and if you have not received a copy, I have not either! Failure to take a proctored final exam will result in an automatic "F" grade for the course.



**************************************************************************************



Three thread posting cautions:



1. Please refrain from posting negative comments in the course threads. Negativism is contagious and is detrimental to everyone's learning experience. If you want to vent about the course, please send me an email with your thoughts.



2. Under no circumstances are you to post answers to the quiz questions in the course threads. Doing so will earn you a 25 point penalty.



3. Answer only ONE Discussion question per week. Answering more than one will not improve your chances of earning more points, and it may rob a classmate of the opportunity to have a question to answer.



Rubric

CompetencyExceeds Expectation (3)Meets Expectation (2)Does Not Meet Expectation (1)No Evidence (0)
Evaluation                                                                                                                                                                                                                                                 
Outcomes
10                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   
Can perform and interpret a hypothesis test with 100% accuracy. Can perform and interpret a hypothesis test with at least 80% accuracy. Can perform and interpret a hypothesis test with less than 80% accuracy. Makes no attempt to perform a test of hypothesis. 
Synthesis                                                                                                                                                                                                                                                  
Outcomes
10                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   
Can compute and interpret a confidence interval for a sample mean for small and large samples, and for a proportion with 100% accuracy. Can compute and interpret a confidence interval for a sample mean for small and large samples, and for a proportion with at least 80% accuracy. Can compute and interpret a confidence interval for a sample mean for small and large samples, and for a proportion with less than 80%  accuracy. Makes no attempt to compute or interpret a confidence interval. 
Analysis                                                                                                                                                                                                                                                   
Outcomes
10                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   
Can apply the normal distribution, Central limit theorem, and binomial distribution to practical problems with 100% accuracy. Can apply the normal distribution, Central limit theorem, and binomial distribution to practical problems with at least 80% accuracy. Can apply the normal distribution, Central limit theorem, and binomial distribution to practical problems with less than 80% accuracy. Makes no attempt to apply the normal distribution, Central Limit Theorem, or binomial distribution. 
Terminology                                                                                                                                                                                                                                                
Outcomes
4,5,7                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                
Can explain event, simple event, mutually exclusive events, independent events, discrete random variable, continuous random variable, sample,  and population with 100% accuracy. Can explain event, simple event, mutually exclusive events, independent events, discrete random variable, continuous random variable, sample,  and population with at least 80% accuracy. Can explain event, simple event, mutually exclusive events, independent events, discrete random variable, continuous random variable, sample,  and population with less than 80% accuracy. Makes no attempt to explain any of the terms listed. 
Concepts                                                                                                                                                                                                                                                   
Outcomes
1,6                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  
Can explain mean, median, mode, standard deviation, simple probability, and measures of location with 100% accuracy. Can explain mean, median, mode, standard deviation, simple probability, and measures of location with at least 80% accuracy. Can explain mean, median, mode, standard deviation, simple probability, and measures of location with less than 80%  accuracy. Makes no attempt to define any concept. 
Application                                                                                                                                                                                                                                                
Outcomes
1,2,3,8,9                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            
Compute probabilities using addition multiplication, and complement rules and conditional probabilities. Compute statistical quantities for raw and grouped data. Compute probabilities using combinatorics, discrete random variables, and continuous random variables. All must be done with 100% accuracy. Compute probabilities using addition multiplication, and complement rules and conditional probabilities. Compute statistical quantities for raw and grouped data. Compute probabilities using combinatorics, discrete random variables, and continuous random variables. All must be done with at least 80% accuracy. Compute probabilities using addition multiplication, and complement rules and conditional probabilities. Compute statistical quantities for raw and grouped data. Compute probabilities using combinatorics, discrete random variables, and continuous random variables. All are done with less than 80% accuracy. Makes no attempt to compute any of the probabilities or statistics listed. 
Whole Artifact                                                                                                                                                                                                                                             
Outcomes
7,8                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  
Can apply the concepts of probability and statistics to real-world problems in other disciplines with 100 % accuracy. Can apply the concepts of probability and statistics to real-world problems in other disciplines with at least 80 % accuracy. Can apply the concepts of probability and statistics to real-world problems in other disciplines with less than 80% accuracy. Makes no attempt to apply the concepts to real-world problems. 
Components                                                                                                                                                                                                                                                 
Outcomes
1                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    
Can use a calculator or other computing device to compute statistics with 100% accuracy. Can use a calculator or other computing device to compute statistics with at least 80% accuracy. Can use a calculator or other computing device to compute statistics with less 80% accuracy. Makes no attempt to use any computing device to compute statistics. 

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Last Updated:12/26/2010 5:04:09 AM