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MA 120 Basic Concepts of Statistics
Willcox, John


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

S2T 2007 DLD

Faculty

Willcox, John

Title

Senior Instructor

Degrees/Certificates

BS Mathematics
MA Industrial Management
MA Logistics Management

Office Location

Nine Mile Falls, WA

Office Hours

Respond within 48 hours

Daytime Phone

509 276 9466 Please leave name and phone number, slowly.

Other Phone

FAX  509 276 9466

E-Mail

John.Willcox@pirate.park.edu

johnowx@peoplepc.com

Semester Dates

04/19/07 thru 06/13/07

Class Days

Monday thru Sunday

Class Time

Will try to respond to student within 24 hours but no later than 48 hours

Prerequisites

None.  Should have a basic understanding of math concepts. If not, recommend College Mathematics or Algebra.

Credit Hours

3


Textbook:

Required Text: Elementary Statistics - 4rd Ed.

Author: Allan B. Bluman
ISBN: 0-07-334714-0

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

 

 

The purchase of a new textbook insures the inclusion of the Student Access Kit to MathZone.  You will also need a scientific calculator.  Check with your instructor for specific requirements and if mathzone will be required.  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

Textbooks can be purchased through the Parkville Bookstore

Additional Resources:
Student should have a basic Scientific Calculator such as a TI 36 (Texas Instrument) or Casio.  These calculators sell from $12-$20.

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 are pertinent to most disciplines.  Topics include:  probability models, parameters, statistics and sampling procedures, hypothesis testing, correlation, and regression.  3:0:3

Educational Philosophy:

Each student is responsible for: •

 o Completing weekly reading assignments.

o Participating in weekly discussions/study groups/projects.

o Completing weekly homework  on time 

o Complete mid term examination    

o Completing a proctored examination during Week 8.

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:

The class will be assessed primarily by participation, homework, mid term examination and the final assessment will be the Final Examination.  This will assure the student understands the basic concept of solving and understanding statictical data gathering in order to accomplish follow on University classes.

Grading:

The following event will take place each week of class and the student will be responsible for accomplishing each item during that week time for full credit.  If the student delays 50% will be deducted for items submitted on Monday and 100% for items submitted on Tuesday of the following class week.  The weeks or units follows:

Unit 1  Chapter 1 The Nature of Probability and Statistics, Discussion, Homework Problems Due

Unit 2  Chapter 2 Frequency Distributions and Graphs, Discussion, Homework Problems Due

Unit 3  Chapter 3 Data Statistics, Discussion, Homework Problems Due

Unit 4  Chapter 4 Probability and Counting Rules, Discussion, Homework Problems Due

Unit 5  Chapter 5 Discrete Probability Statistics, Discussion, Homework Problems Due, Mid Term Examination

Unit 6  Chapter 6 The Normal Distribution, Discussion, Homework Problems Due. Deadline for Proctor Form (if this is not accomplished, 10 points will be deducted from your final)

Unit 7  Chapter 7 Confidence Intervals and Sample Size, Discussion, Homework Problems Due

Unit 8  Chapter 8 Hypothesis Testing/10 Correlation and Regression, Discussion, Homework Problems Due,  Final Examination

Weekly participation/discussion will be required which will total 10-15 points.  This will include primarily the study guide and discussion threads.  The discussion thread is the staple communication tool for this course. This thread will discuss problems and issues that relate to the homework, midterm, and the final. It is important for the student should visit these threads on a regular basis, and not wait until Sunday evening. Many issues that relate to working problems are discussed and missed discussions can affect the students knowledge. Those that do join this thread on Sunday evening may have points deducted. Students that participate far beyond what is expected will get maximum points (10 Points), those that excel above average will get 8 - 9 points, and those that just do the assignment will get 7 points. If a week is missed by the student, a 0 grade will be given.  

Homework needs to be handed in on time is worth a total of 5 points. Homework will be spot graded, and points will be taken off for missed questions or work not completed.  Additionally, some students spend a great amount of time preparing charts, explanations, and attention to detail while others just provide the answers. For just doing what is expected you could get 3 points, more than what is required may receive 4 points, where exceptional work and content could get the full 5 points. 

The mid term and final will be open book, calculator, and notes.  Both will total 125 points.  The mid term will cover chapters 1-5 and the final will cover chapters 1-7.  The instructor will provide discussion questions which will relate to the mid term and final throughout the class.  If the student does not understand any of these questions, make sure this is identified in the appropriate threads. The student is required to obtain a proctor and if the proctor is not obtained during the time frame that is required, 20 points may be deducted from the students final.

Summary of Assigned Grade Points 

Unit/Week
Participation
Homework
Mid Term
Final
Total
 
 
 
 
 
 
1
15
5
 
 
20
2
10
10
 
 
20
3
10
5
 
 
15
4
10
5
 
 
15
5
10
5
125
 
140
6
10
5
 
 
15
7
10
5
 
 
15
8
10
5
 
125
140
 
 
 
 
 
 
Points
85
45
125
125
380
Percent
0.22
0.12
0.33
0.33
1.00

A Grade 90<100  Percent, B Grade 80< 90  Percent, C Grade 70<80 Percent, D Grade 60< 70  Percent, 
F Grade 0< 60 Percent.

Late Submission of Course Materials:
• Submission of Late Work: All work should be completed by the end of each course week. After that a 50% reduction will be levied for each day late. If the student does not complete the work by that following 12 PM, CST Tuesday a 0 grade will administered. The student is required to obtain a proctor and if the proctor is not obtained during the time frame that is required, 20 points may be deducted from the students final.

Classroom Rules of Conduct:
Online Course Policies: Policy #1:   Submission of Work: • A class week is defined as the period of time between Monday 12:01 am EST and Sunday at 11:59 PM EST. 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: 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. • If the issue is preventing you from submitting or completing any coursework, contact your instructor immediately.

Course Topic/Dates/Assignments:
You have heard Benjamin Disraeli's assertion: "There are three types of lies: lies, damned lies, and statistics." By learning the concepts expressed in this course, you should be able to sort out how the information in collections of data is interpreted (as well as misinterpreted). Each week we'll focus on different aspects of the general properties of data sets, methods of collecting data, ways of analyzing and expressing ideas about data sets, and problem-solving methods based on information contained in our text.

 

Welcome to Basic Concepts of Statistics. 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. We will finish with a consideration of a method matching and graphing two sets of data to analyze the possibility of a relationship. We will return to this analysis graph again in Unit 8 when we discuss correlation and regression.

 

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 2006-2007 Undergraduate Catalog Page 87-89

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 .



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:2/26/2007 12:33:14 PM