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MA 120 Basic Concepts of Statistics
Law, Kimberly


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

F2T 2006 DLJ

Faculty

Law, Kimberly

Daytime Phone

831-235-8846

Other Phone

831-393-2224

E-Mail

kimberly.law@pirate.park.edu

kimlaw24@hotmail.com

Semester Dates

10/23/06-12/17/06

Class Days

Online Course

Class Time

Online Course

Credit Hours

3


Textbook:

Required Text: Elementary Statistics - 3rd Ed. (This Edition is called "A Brief Version")
Author: Allan B. Bluman;ISBN: 0-07-310765-4
I encourage you to purchase a new text or a used text that includes access to MathZone, a web resource provided by the publisher.  A new textbook includes a code to access this resource.  A number of students felt that MathZone was an invaluable resource.

Textbooks can be purchased through the MBS bookstore

Additional Resources:

The purchase of a new textbook insures the inclusion of the Student Access Kit to MathZone.  The access kit can be purchased separately at www.mathzone.com.  You will also need a scientific calculator.  It is recommended that if you are continuing on to additional math courses a graphing calculator, a TI-83 perhaps, is purchased.

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.
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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:
A development of certain basic concepts in probability and statistics that are pertinent to most disciplines.  Topics include:  probability models, parameters, statistics and sampling procedures, hypothesis testing, correlation, and regression.  3:0:3

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


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 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:

This course will consist of one final cumulative examination, weekly quizzes, weekly participation in grouped discussion threads, and weekly homework assignments.

Grading:

Grading:
7 homework assignments, 30 points each, total of 210 points.
8 quizzes, 15 questions each, 30 points each, total of 240 points.
8 weekly discussion postings, 10 points each, total of 80 points.
1 final, proctored examination, 100 points.
Your total grade will be your points earned over the total points possible (630).

The grading scale is as follows:
A = 90-100
B = 80-89
C = 70-79
D = 60-69
F = 0-59

Each student is responsible for:
-Completing weekly reading assignments.
-Participating in weekly discussions.
-Studying various online resources.
-Completing weekly substantial homework assignments.
-Completing weekly online quizzes.
-Completing a proctored examination during Week 8.

You will be evaluated on the total number of points you earn as compared to the greatest amount of points that may be earned in each course activity.

Proctored final examination - A final proctored examination will be taken in a proctored testing environment during the 8th week at one of the Park University sites around the country or at an alternative location.  For proctored examinations, photo identification is required at the time of the test.  Guidelines for selecting an acceptable proctor can be found on the Park University Website.   Other Information on proctored exams: It will be the responsibility of the student to arrange for a proctor, by the 6th week of the term, who is accepted and approved by the course instructor.   Approval of proctors is the discretion of the Online instructor.   A proctor request form will be made available to you during the first week of class so that you can send your requested proctor to your instructor for approval.  Please see the "Proctor Form" section under "Course Home". Failure to take a final proctored exam will result in an automatic "F" grade.

On a weekly basis, each student will need to complete the following items:

 

1.  Discussion Posting

Each student will be assigned to a discussion group.  In that group, each student will answer and respond to the posed question, as well as to the postings of the other students in the group.  Each student's overall participation will be graded at the end of the week (out of 10 points), according to the scale below:  

Score

Criteria

10

Student fully participated, answered the posed question completely, and relevantly responded to fellow students thoughts and ideas with insightful and appropriate comments. 

8

Student participated, answered the posed question completely, and responded to a mediocre degree to fellow students. 

6

Student participated, answered the posed question completely, and responded to fellow students minimally.

4

Student participated by answering the posed question completely, but did not respond in any way to fellow students. 

2

Student minimally participated, and would not be considered a part of the “active” discussion. 

0

Student did not participate in any way.

 All discussion postings must be complete by Sunday, 11:59PM Mountain time.  This means that it is in the group's best interest to start early in the week with the discussion, as to allow all group members time to respond to the ideas and comments generated. 

 

2. Homework

Each student will complete an assigned homework problem set each week (except Week 8).  Each problem set will be worth 30 points, and consist of approximately 4-10 problems.  Homework assignments are due in the appropriate week's dropbox by Sunday, 11:59PM Mountain time.  Homework is an individual activity.

 

Many students have found, however, it helpful to have graded homework returned prior to taking the quiz, also due by the end of the week, Sunday, 11:59PM MT.  If you turn in your homework in to the dropbox by Thursday, 11:59PM MT, I commit that I will return it to you by Saturday morning, 11:00AM Mountain Time.  This will allow you time to complete the quiz with the returned homework.  Homework turned in after Thursday has no guaranteed return time prior to the end of the week. 

 

Homework solutions will be posted in each week's unit the Monday after the week has ended.  For instance, if Week 1 ends on Sunday, 11:59PM MT, homework solutions will post the following day, Monday, at 12:00AM Mountain time.  Once the homework solutions are posted, no homework submissions will be accepted. 

 

Each week, there will be an extra credit problem available.  It must be completed and turned in the week assigned, and will not be accepted late.  There will be no other extra credit available at the end of the term, this is the only extra credit available in the course.  The points earned on extra credit will be added to your homework grade each week.  Extra credit will only be accepted if it is accompanied by a completed homework assignment. 

 

Finally, it is expected that you complete many additional problems to those assigned.  The assigned problems are a sampling of the important concepts in the text.  It is expected that to truly master the concepts, you complete many of the odd-numbered problems in the text, as the answers to those problems are given in the appendices of the text. 

 

3.  Quiz

Each student will complete a quiz each week, consisting of 15 problems from the assigned reading for the week.  The quiz will have a time limit of two hours.  It is not expected that the quiz will take two entire hours, rather, the time limit is to ensure that the quiz be completed in its entirety at one time.  A student's grade will be immediately posted in their gradebook, but no correct/incorrect markings will appear on the quiz.  The quiz solutions, in their entirety, will be posted in the week's unit along with the homework solutions, on Monday 12:00AM Mountain Time.  Similar to the homework, once the solutions are posted, quizzes must be complete. 

 

4.  Other Information

Each week there will be a discussion thread entitled “Study Group”.  Posting in this discussion is optional, but I encourage each student to review the postings in this thread.  This is where students should post questions about concepts presented in the week's material.  It can be a great resource to learn from your fellow students.  This is the place to ask questions about the odd-numbered problems or any of the example problems you may be struggling with.  Please feel free to post a response to another student.  I will confirm or correct any information posted in this thread. 

 

I send out quite a bit of information via email.  Please commit to checking your PirateMail account daily; or please make use of the fantastic forwarding feature that allows you to send all your PirateMail messages to another email account. 

 

Late Submission of Course Materials:

No late work of any kind will be accepted.  Weekly quizzes will only be accessible during the week assigned.   Solutions to homework and quizzes for each week will be posted at the beginning of the following week.  It is the responsibility of the student to have work completed early, not late.  Notify the instructor WELL IN ADVANCE of any special circumstances. 

Classroom Rules of Conduct:

Policy #1:  Submission of Work
A class week is defined as the period of time between Monday 12:01 am MST and Sunday at 11:59 PM MST. The first week begins the first day of the term/semester. Assignments scheduled for completion during a class week should be completed and successfully submitted by the posted due date. 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. When files are sent attached to an email, the files should be in either Microsoft Word, RTF, ASCII, txt, or PDF file formats.

Policy #2: Ground Rules for Online Communication & Participation General email
Students should use email for private messages to the instructor and other students. When sending email other than assignments, you must identify yourself fully by name and class in all email sent to your instructor and/or other members of our class. Online threaded discussions are public messages and all writings in this area will be viewable by the entire class or assigned group members.
Online Instructor Response Policy:  Online Instructors will check email frequently and will respond to course-related questions within 24-48 hours.
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.
Please check the Announcements area before you ask general course "housekeeping" questions (i.e. how do I submit assignment 3?).  If you don't see your question there, then please contact your instructor.  

Policy #3: Technical Problems 
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.   If the issue is preventing you from submitting or completing any coursework, contact your instructor immediately. 

Finally…In this class, we will live by the Golden Rule.  I will treat you in the same manner I would like to be treated.  Professionalism, maturity, and academic perseverance will be rewarded handsomely.  Finally, the only “dumb” question is the one that goes unanswered.  You are here to learn—if a subject remains uncertain in your mind, ask for help.  

Course Topic/Dates/Assignments:

During Week 1, we begin to learn the language of statistics and examine some basic sampling and experimental design strategies. We will also learn strategies for organizing data, and representing data sets in graphs and charts. Discussion of analysis of graphical representations of data will allow us to classify what type of distribution represents a particular data set. We will also learn how mistakes in constructing graphs improperly causes data to be misrepresented. Our online discussions will help you become familiar with the online environment, learn what we hope to achieve from this course, understand my general guidelines and expectations, and assess your interest in the the study of statistics.

During Week 2, we will examine basic calculations used in descriptive statistics including: measures of center, sample mean, and sample standard deviation. We will also discuss descriptive measures for populations, including the use of samples. We will continue discussing basic tools for descriptive statistics, including the use of linear regression and linear correlation.

During Week 3, we will learn what probabilities are and learn some of the basic rules of probability. We will also learn about discrete random probabilities and probability distributions.

During Week 4, we will learn about the normal distribution, areas under the standard normal curve, and working with normally distributed variables. We will also examine sampling error, the need for sampling distributions and and learn how to apply the sampling distribution of the sampling mean.

During Week 5, we begin an examination of inferential statistics. We begin with a discussion of confidence intervals for one population mean. We will also start to examine the basics of hypothesis testing.

During Week 6, we continue to examine hypothesis testing for one population mean. We will then turn our attention to the inferential statistics of two population means.

During Week 7, we will examine the inferential statistics of population proportions and analysis of variance using one-way ANOVA.

During Week 8, we will conclude our examination of topics in statistics by learning how to use the Chi-square distribution to determine goodness of fit and to determine if there is an association between two variables. We will also complete the proctored examination during this week.

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 2006-2007 Undergraduate Catalog Page 87-89
A grade of zero may be assigned for an assignment/quiz/etc. in which Academic Dishonesty is suspected.  
In the event of alleged academic dishonesty, an Academic Dishonesty Incident Report will be submitted to an Online Academic Director who will then investigate the charge.  Students who engage in academic dishonesty are subject to a range of disciplinary actions, from a failing grade on the assignment or activity in question to expulsion from Park University.

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. Park University 2006-2007 Undergraduate Catalog Page 87

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 "W".
  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 2006-2007 Undergraduate Catalog Page 89-90

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:

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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:10/9/2006 11:19:24 PM