Syllabus Entrance
Printer Friendly
Email Syllabus
Education Major Version

MA 120 Basic Concepts of Statistics
Cundiff, Kathy L.


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 DL

Faculty

Cundiff, Kathy L.

Daytime Phone

775-269-8298

E-Mail

kcundiff@park.edu

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 your instructor's course ID code prior to ordering. 

You will also need a calculator. Check with your instructor for specific requirements on type and features. 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:

 

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

  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:

Each week there will be two scored quizzes; one is a REPEATABLE and UNTIMED Practice Quiz, and the other is a ONE-TIME only, TIMED Quiz.  You will also be required to participate in the Class Discussion with an answer to a question and an optional response posting to a classmate's answer.  In addition there is a required Introduction thread posting with a required response to a classmate's introduction, and a proctored Final Exam.
 
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.
 
Reading assignments:  Students are expected to read the assigned chapters in the textbook and view the presentations found in the Concept Guide.  The Class Discussion questions, Quiz questions, and the proctored Final Exam assumes you have done so.

Grading:

GRADING SCALE:

A = 90 - 100%  (or at least 421 points)
B = 80 - 89%   (or at least 374 points)
C = 70 - 79%   (or at least 327 points)
D = 60 - 69%   (or at least 280 points)
F =  < 60%     (less than 280 points)

Points for this course can be earned in the following manner:

Introduction posting = possible 5 points

Posting of a thoughtful response to at least one classmate's Introduction = possible 5 points

Posting of a weekly Class Discussion answer = possible 10 points each (8 x 10 = 80 points)

Optional posting of a weekly concept focused response to a classmate's Discussion question answer = possible 2 bonus points each week (8 x 2 = 16 bonus points)

Practice Quiz = 15 possible points (8 x 15 = 120 points)

Timed Quiz = 20 possible points (8 x 20 = 160 points)

Final Exam = possible 100 points     

                                              5 + 5 + 80 + 120 + 160 + 100 = 470 possible regular points plus 16 possible bonus points!


Your Introduction post will be assessed on whether you completed the assignment, submitted it on time, and if you completed it as explained in the thread instructions.

Your response posting to a classmate's introduction will be assessed on whether you completed the assignment, submitted it on time, and if your response addresses some aspect of the your classmate's introduction.

The Class Discussion and Study Group threads are our virtual classroom areas.  This is where we will do most of our course interacting.  It is advisable for you to check out this area several times per week.  Good online discussion with your instructor and classmates and answers to your questions will not be possible if you wait until the last day of the week to arrive.

Your Class Discussion answers will be assessed on whether you completed the assignment, answered an eligible question correctly and completely, submitted your answer before the stated deadline, and if you completed it using the required format as explained in the thread instructions.

Your bonus point response posting to a classmate's Class Discussion question will be assessed on whether you submitted it on time, and if your response contains at least two complete sentences focused on the statistical concept of the answer posting you are responding to.

I encourage and expect you to respond freely to each other with affirmations, inquiries, suggestions, and additional thoughts.  "I agree" or "good answer" is not expressive enough to earn points as one of your required sentences.  Also not accepted are comments on how the answer was good because it helped you to understand the concept.  Say why you agree, or why it is a good answer.

Before you praise and agree with another's answer, you need to verify that it is correct.  If the answer is incorrect and you are agreeing, no bonus points will be earned.  

Please respond tactfully to incorrect or incomplete answers as well as the correct ones.  Points will be earned by the thoughtfulness of your postings.  Focus your comment on the concept covered in the question/answer posting.  Many times just the rewording of a thought, or giving an example, will enable someone to gain a better understanding of a concept, and is acceptable.  A great deal of your learning can take place in this academic atmosphere.  You can post as many response postings as you want, BUT please understand you can only earn two bonus points per week for replying to discussion questions, NOT two bonus points per reply.

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.

I will publish an Answer Key for the Practice Quiz after the assignment deadline.  You will find it in the Course Menu as the last item of the unit in which it assigned.  Upon completion of your Timed quiz you will be allowed to see the correct answers.  Use these as re-learning tools of any concepts you may need more help on.  They will also come in handy as you review for your 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 non-programmable, non-graphing, non-statistical calculator.  It must be taken in person (requiring a photo identification) no later than Thursday of the 8th week of instruction 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.

________________________________________________________________________________________________________________________

The Study Group thread is a good place to go when you get "stuck."  Look through the postings for information to help you get "unstuck."  If you do not find help to get you "over the hump," post your question.  Please do not ask for an answer to a particular quiz problem.  Rather ask specific questions on how to find information that will lead you to be able to complete the assigned problem.  You might want to ask for clarification of the reading assignment, or if someone could give you an example of a concept.  This is also an area where you can post technical questions.  You may post as many questions as you like here.  

When replying to Study Group postings, please do not give answers to particular quiz problems.  Take on the role of tutor and help your classmate gain an understanding of the material.  It is well known that we learn by doing and by teaching, so please take advantage of this opportunity.  I feel confident that you will be able to help each other in your reply postings, but please know I will be monitoring this thread and will occasionally expand, clarify, or correct replies to posted questions if I deem it necessary.  I will also answer questions posted here that do not elicit an answer from classmates.

Two cautions: Please refrain from negative comments in the Study Group thread.  Its purpose is to ask for help and to help others, not to vent! Under no circumstances are you to post answers to the quiz questions in the Discussion Question or the Study Group threads.  Doing so will earn you a 25 point penalty!

Late Submission of Course Materials:
Assignments are expected to be completed by set deadlines.  A 24 hour extension is provided for thread postings, but will be assessed with a 50% penalty on earned points.  Practice and Timed quizzes will only be accessible during the current week.  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.

Classroom Rules of Conduct:

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

Policy #1:  Submission of Work.

A class week is defined as the period of time between Monday 12:00 am MT and Sunday at 11:59 PM MT. (MT is Mountain Time at Denver, Colorado, where eCollege is located.  When Denver is in Daylight Saving Time, the course will be also.  Please make sure you adjust your classwork schedule to meet the MT deadlines.)  The first week begins the first day of the term. 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 as attachments, they should be in either Microsoft Word, Microsoft Works, RTF, ASCII, txt, PDF, JPEG, or TIFF file formats.  WORDPERFECT and some scanner files (like .max) are not acceptable for this course.

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

Journal: You should use this communication tool for private messages to me.  Make sure you choose the option to allow me to view your entry.  Should you need to send me an attachment of your work, you will need to send it via an email.

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 last name in the SUBJECT LINE of your email: MA120 DL, your 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 am required to 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.  PROOFREAD AND USE THE SPELLCHECK 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 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

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. 

Copyright:

This material is protected by copyright and can not be reused without author permission.

Last Updated:12/28/2007 9:16:31 AM