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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

S1T 2008 DLF

Faculty

Law, Kim

Title

Adjunct Faculty

Office Location

Online

Office Hours

Online Daily

Daytime Phone

410-451-2122

Other Phone

cell-803-981-2869

E-Mail

kimberly.law@pirate.park.edu

kimlaw24@hotmail.com

Semester Dates

1/4/08 - 3/9/08

Class Days

Online Course

Class Time

Online Course

Credit Hours

3


Textbook:

 

Required Text: Elementary Statistics, 10th Ed.
Author: Mario F. Triola
Publisher: Addison-Wesley
ISBN: 0-321-52291-5

Order text at: http://direct.mbsbooks.com/park.htm

An e-book is included with MyMathLab.  If you prefer to use it instead of the hardcopy, order the Student Access Kit only at www.mymathlab.com.  You will need a code from the instructor, please email me for that code. 

PLEASE NOTE:  It is expected that you have access to a scientific calculator.  You will not be allowed to use a computer on the final exam, so I encourage you to use the same calculator throughout the course and on the final exam.  If you have specific calculator questions, please let me know.
Links in the course Student Instruction Guide are provided for downloading required FREE software for the multimedia presentations of the course.

Textbooks can be purchased through the MBS bookstore

Additional Resources:

There is a Student Solutions Manual available for our textbook.  It's a WONDERFUL resource.  The text provides the answers to the odd numbered problems, but the Student Solutions Manual shows how to work out each of the odd-numbered problems in the text, step-by-step.  Past students who have purchased this manual have felt that it was completely INVALUABLE to their learning of the material.  The Student Solutions Manual cannot be purchased from the Park Bookstore, but can be purchased from sites such as amazon.com.  I just checked prices, and a new SSM is approximately $30, amazon.com has many used copies for as little as $5.  The ISBN of the SSM is 0321470400.  Please contact me with any questions about this fantastic resource!


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:
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:

 

Learning Outcomes:
  Core Learning Outcomes

  • Compute descriptive statistics for raw data as well as grouped data
    MoSTEP
    1.1.1 The general studies include the arts, communications, history, literature, mathematics, philosophy, sciences, and the social sciences.
    1.2.1.1 knows the discipline applicable to the certification area(s) as defined by Subject Competencies for Beginning Teachers in Missouri;
    SPAs
    • NCTM: 1.1, 1.2, 1.3, 12.2
    • NAEYC: 4c
    • ACEI: 2.3
    • NMSA: 3.k1-3.k12
    • MoSTEP UNIFIED SCIENCE 1.4; NSTA 1.B. C.1 & C.2; NSTA 2; NSTA 3
  • Determine appropriate features of a frequency distribution
    MoSTEP
    1.1.1 The general studies include the arts, communications, history, literature, mathematics, philosophy, sciences, and the social sciences.
    1.2.1.1 knows the discipline applicable to the certification area(s) as defined by Subject Competencies for Beginning Teachers in Missouri;
    SPAs
    • NCTM: 1.2, 12.2
    • NAEYC: 4c
    • ACEI: 2.3
    • NMSA: 3.k1-3.k12
    • MoSTEP UNIFIED SCIENCE 1.4; NSTA 1.B. C.1 & C.2; NSTA 2; NSTA 3
  • Apply Chebyshev's Theorem
    MoSTEP
    1.1.1 The general studies include the arts, communications, history, literature, mathematics, philosophy, sciences, and the social sciences.
    1.2.1.1 knows the discipline applicable to the certification area(s) as defined by Subject Competencies for Beginning Teachers in Missouri;
    SPAs
    • NCTM:  1.2, 12.2
    • NAEYC: 4c
    • ACEI: 2.3
    • NMSA: 3.k1-3.k12
    • MoSTEP UNIFIED SCIENCE 1.4; NSTA 1.B. C.1 & C.2; NSTA 2; NSTA 3
  • Distinguish between and provide relevant descriptions of a sample and a population
    MoSTEP
    1.1.1 The general studies include the arts, communications, history, literature, mathematics, philosophy, sciences, and the social sciences.
    1.2.1.1 knows the discipline applicable to the certification area(s) as defined by Subject Competencies for Beginning Teachers in Missouri;
    SPAs
    • NCTM: 12.2
    • NAEYC: 4c
    • ACEI: 2.3
    • NMSA: 3.k1-3.k12
    • MoSTEP UNIFIED SCIENCE 1.4; NSTA 1.B. C.1 & C.2; NSTA 2; NSTA 3
  • Apply the rules of combinatorics
    MoSTEP
    1.1.1 The general studies include the arts, communications, history, literature, mathematics, philosophy, sciences, and the social sciences.
    1.2.1.1 knows the discipline applicable to the certification area(s) as defined by Subject Competencies for Beginning Teachers in Missouri;
    SPAs
    • NCTM: 1.2, 12.3
    • NAEYC: 4c
    • ACEI: 2.3
    • NMSA: 3.k1-3.k12
    • MoSTEP UNIFIED SCIENCE 1.4; NSTA 1.B. C.1 & C.2; NSTA 2; NSTA 3
  • Differentiate between classical and frequency approaches to probability
    MoSTEP
    1.1.1 The general studies include the arts, communications, history, literature, mathematics, philosophy, sciences, and the social sciences.
    1.2.1.1 knows the discipline applicable to the certification area(s) as defined by Subject Competencies for Beginning Teachers in Missouri;
    SPAs
    • NCTM: 12.4
    • NAEYC: 4c
    • ACEI: 2.3
    • NMSA: 3.k1-3.k12
    • MoSTEP UNIFIED SCIENCE 1.4; NSTA 1.B. C.1 & C.2; NSTA 2; NSTA 3
  • Apply set-theoretic ideas to events
    MoSTEP
    1.1.1 The general studies include the arts, communications, history, literature, mathematics, philosophy, sciences, and the social sciences.
    1.2.1.1 knows the discipline applicable to the certification area(s) as defined by Subject Competencies for Beginning Teachers in Missouri;
    SPAs
    • NCTM: 1.2, 12.2, 12.3
    • NAEYC: 4c
    • ACEI: 2.3
    • NMSA: 3.k1-3.k12
    •  MoSTEP UNIFIED SCIENCE 1.4; NSTA 1.B. C.1 & C.2; NSTA 2; NSTA 3
  • Apply basic rules of probability
    MoSTEP
    1.1.1 The general studies include the arts, communications, history, literature, mathematics, philosophy, sciences, and the social sciences.
    1.2.1.1 knows the discipline applicable to the certification area(s) as defined by Subject Competencies for Beginning Teachers in Missouri;
    SPAs
    • NCTM: 1.2, 12.3
    • NAEYC: 4c
    • ACEI: 2.3
    • NMSA: 3.k1-3.k12
    • MoSTEP UNIFIED SCIENCE 1.4; NSTA 1.B. C.1 & C.2; NSTA 2; NSTA 3
  • Apply the concepts of specific discrete random variables and probability distributions
    MoSTEP
    1.1.1 The general studies include the arts, communications, history, literature, mathematics, philosophy, sciences, and the social sciences.
    1.2.1.1 knows the discipline applicable to the certification area(s) as defined by Subject Competencies for Beginning Teachers in Missouri;
    SPAs
    • NCTM: 1.2, 12.2, 12.3
    • NAEYC: 4c
    • ACEI: 2.3
    • NMSA: 3.k1-3.k12
    • MoSTEP UNIFIED SCIENCE 1.4; NSTA 1.B. C.1 & C.2; NSTA 2; NSTA 3
  • Compute probabilities of a normal distribution
    MoSTEP
    1.1.1 The general studies include the arts, communications, history, literature, mathematics, philosophy, sciences, and the social sciences.
    1.2.1.1 knows the discipline applicable to the certification area(s) as defined by Subject Competencies for Beginning Teachers in Missouri;
    SPAs
    • NCTM: 1.2, 12.2, 12.3
    • NAEYC: 4c
    • ACEI: 2.3
    • NMSA: 3.k1-3.k12
    • MoSTEP UNIFIED SCIENCE 1.4; NSTA 1.B. C.1 & C.2; NSTA 2; NSTA 3  


    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.

    The final is part of the core assessment. The final is a departmental exam and it will be provided to the instructor by the department of mathematics. The final is 2 hrs; books, notes, and a non-graphing, non-programmable calculator are allowed.

    Grading:

    8 Practice (repeatable) quizzes, 20 points each, total of 160 points. 
    7 Timed, one-time quizzes, 10-15 questions each, 30 points each, total of 210 points.
    8 weekly discussion postings, 10 points each, total of 80 points.
    1 introduction posting, 10 points.
    1 final, proctored examination, 120 points.
    Your total grade will be your points earned over the total points possible (580).  There will also be weekly extra credit offered.

    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 2 weekly online quizzes.
    -Obtaining an approved Proctor for your final exam.
    -Completing a proctored examination during Week 8.

    Proctored Final Exam

    The Final Exam will test you on all the material covered in the first seven weeks of the course.  It will be a OPEN BOOK and OPEN NOTES exam, and you will be allowed to use a calculator.  It must be taken in person (requiring a photo identification) no later than Thursday of the 8th week of instruction (March 6, 2007) at one of the Park University campuses around the country.  If one is not available in your area, I will approve a non-Park proctor if the Guidelines for selecting an acceptable proctor, found at the Park University Website, are followed.

    It will be your responsibility to insure that your approved and accepted proctor form reaches me by the end of the sixth week.  Fifteen 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.)

    Fifteen 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.


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

    1.  Discussion Posting

    Each student will answer and respond to the posed question. 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. 

    2. Practice Problems & Extra Credit

    Practice problems will be assigned each week. They are not graded or turned in, but they are meant to help guide you through the material presented. There will also be solutions to various even-numbered problems posted, also to help you learn the presented material each week. The answers to the odd-numbered problems are available in the back of the book. The solutions (how to work out each problem step-by-step) to the odd-numbered problems are available in the Student Solutions Manual, if you purchased that text. 

    Each week, there will be an extra credit problem available, worth 5 points.  It must be completed week assigned, and will not be accepted late.  The extra credit will be submitted online, within each Unit, in the “Extra Credit” section. There will be no other extra credit available at the end of the term, so take advantage of it each week!  

    3.  Quizzes

    Each student will complete TWO quizzes each week, consisting of 10-15 problems from the assigned reading for the week. 

    The “Practice Quiz” is a REPEATABLE and UNITMED quiz.  The Practice Quiz typically consists of fill-in-the-blank type questions.  Students may take the quiz as many times as they like until they are satisfied with their grade, but it must be completed within the week assigned.  Solutions to the “Practice Quiz” will post within the Unit the Monday after the Unit has closed. The “Timed Quiz” can be taken only ONE TIME during the week assigned, and will have a time limit of two hours. The Timed Quiz typically consistst of multiple choice style questions.  Once you submit your Timed Quiz, you will be able to view the solutions to the problems. Use these solutions to relearn and master the material in preparation for the Final Exam. 

    Your Practice and Timed quizzes will be assessed on whether you completed the quizzes, answered the questions correctly, and submitted the answers before the deadline stated in the instructions.  

    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. 

    5.  Submission of Late Work

    No late work of any kind will be accepted.  Solutions to quizzes for each week will be posted at the beginning of the following week.  Assignments are expected to be completed by set deadlines.  Practice and Timed quizzes will only be accessible during the current week.  It is the responsibility of the student to start work early, not late.

    NO EXTENSIONS WILL BE MADE. 

    You have all week to complete the quizzes; waiting until Sunday is NOT a good plan. Since the Practice quiz is repeatable, you could complete the questions as you are reading the sections and working practice exercises in the textbook.  Many students enter and submit one answer at a time on the Practice Quiz to insure accuracy.  If you submit all answers at one time, you will only receive a report stating the number of correct answers, but not specifically which ones are correct!  You can send me a request to review your quiz and let you know which ones are incorrect.  That is never a problem for me to do, but if you do not want to wait for me to reply, you should consider entering your answers separately.  This is ONLY for the Practice Quiz!  You must submit all answers at one time on the Timed Quiz since you can only enter it one time. It is the responsibility of the student to have work completed early, not late.  Notify the instructor WELL IN ADVANCE of any special circumstances, and each situation will be judged on a case-by-case basis.

    Late Submission of Course Materials:

    No late work of any kind will be accepted.  Solutions to quizzes for each week will be posted at the beginning of the following week.  Assignments are expected to be completed by set deadlines.  Practice and Timed quizzes will only be accessible during the current week.  It is the responsibility of the student to start work early, not late. 

    NO EXTENSIONS WILL BE MADE.

    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. PLEASE NOTE THAT MICROSOFT OFFICE 2007 FILES ARE NOT ACCEPTABLE.  Be sure to save your files as MS Office 2003 or lower editions.

    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:

    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 learing how the Central Limit Theorem can be applied to sample data sets.

    In Unit 7 we move into inferential statistcs. 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 2007-2008 Undergraduate Catalog Page 85-86
    ***********************************************************
    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. Park University 2007-2008 Undergraduate Catalog Page 85
    ***********************************************************
    ALL GRADED WORK FOR THIS COURSE MUST BE YOUR OWN.  EVERY QUIZ INSTRUCTION PAGE STATES THAT 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.  WARNING: When I repeatedly see identical incorrect answers on quizzes I will be suspicious and will investigate.

    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.
    3. Work missed through unexcused absences must also be made up within the semester/term of enrollment, but unexcused absences may carry further penalties.
    4. 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".
    5. A "Contract for Incomplete" will not be issued to a student who has unexcused or excessive absences recorded for a course.
    6. 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.
    7. 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 2007-2008 Undergraduate Catalog Page 87-88
    Instructors, You should either delete this message and leave blank, or enter additional comments or policies.

    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 .



    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:12/16/2007 2:58:13 PM