MA120 Basic Concepts of Statistics
for F2T 2006
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Mission Statement: The mission of Park University, an entrepreneurial institution of learning, is to provide access to academic excellence, which will prepare learners to think critically, communicate effectively and engage in lifelong learning while serving a global community.
Vision Statement: Park University will be a renowned international leader in providing innovative educational opportunities for learners within the global society.
Course  MA 120 Basic Concepts of Statistics 
Semester  F2T 2006 DLB 
Faculty  Beston, William C. 
Title  Mathematics/Adjunct Faculty 
Degrees/Certificates  BS, Mechanical Engineering Clarkson University MS, Engineering Science Clarkson University 
Office Location  Corpus Christi, Texas 
Office Hours  TBA 
Daytime Phone  3619492561 
EMail  William.Beston@park.edu 
 wbeston@stx.rr.com 
Web Page  http://home.stx.rr/com/wbeston 
Semester Dates  October 23, 2006  December 17, 2006 
Class Days  TBA 
Class Time  TBA 
Credit Hours  3 
Textbook:
Textbooks can be purchased through the MBS bookstore
Textbooks can be purchased through the Parkville Bookstore
Additional Resources:
A Scientific Calculator
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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:
I believe that each and every person is capable of learning. I believe that my task is to create an environment that allows the learning process to occur. By enabling students to learn, I try to create an atmosphere where each student (to the best of my ability) knows that I care about their learning and that I will help them with processes and procedures that will allow them to develop problem solving skills and talents they may never thought they could understand or achieve. My goal is create Master Students that are lifelong learners.
Learning Outcomes:
Core Learning Outcomes
 Compute descriptive statistics for raw data as well as grouped data
 Determine appropriate features of a frequency distribution
 Apply Chebyshev's Theorem
 Distinguish between and provide relevant descriptions of a sample and a population
 Apply the rules of combinatorics
 Differentiate between classical and frequency approaches to probability
 Apply settheoretic ideas to events
 Apply basic rules of probability
 Apply the concepts of specific discrete random variables and probability distributions
 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 twodimensional 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 nonstandard normal probability distribution.
6. Compute and interpret a confidence interval for a mean and/ or for a proportion.
Link to Class Rubric
Class Assessment:
Student assessment will be based on Homework, Quizzes, Participation, and a protored Final Exam.
Grading:
 Overall assessment of student final grades will be based on: (Relative weights and due dates are included)
Assignment 
% of Grade 
Due Date 
HW1 
5% 
Week 1 
HW2 
5% 
Week 2 
HW3 
5% 
Week 3 
HW4 
5% 
Week 4 
HW5 
5% 
Week 5 
HW6 
5% 
Week 6 
HW7 
4% 
Week 7 
HW8 
2% 
Week 8 
Quiz #1 
4% 
Week 1 
Quiz #2 
4% 
Week 2 
Quiz #3 
4% 
Week 3 
Quiz #4 
4% 
Week 4 
Quiz #5 
4% 
Week 5 
Quiz #6 
4% 
Week 6 
Quiz #7 
4% 
Week 7 
Class Participation 
16% 
Continually 
Proctored Examination 
20% 
Week 8 
 A student that has achieved the following numerical average is assured the following minimum letter grade:
Numerical 
Letter Grade 
90 â€“100 
A 
8089 
B 
7079 
C 
6069 
D 
059 
F 
You will be evaluated on the total number of points you earned as compared to the greatest number of points that may be earned in each course activity. In determining the number of points assigned to an activity, the major factors will be the following questions:
Was the work completed?
Was the work completed correctly?
Was the work completed on time?
 Submission of Graded Work: Before the end of the each week, you need to have submitted online answers to the HW and Quiz. Work copies of the HW and Quiz are available in the Doc Sharing area.

Participation Credit: You should have interacted in the Class Discussion area as least twice. Asking questions about specific questions in the Class Discussion area is allowed and encouraged. For instance, you may start your discussion in the following way:
Q1P16: I do not know how to calculate the class width for this question. I thought it was 20.9 but that is not an answer. Can somebody help? By starting your question with the problem information first, other students will be able to quickly identify which problem the discussion is about and be able to help or see the suggestions.
Once you have submitted your answers to the HW and Quiz, I will notify you by email which questions you have answered incorrectly and allow you to resubmit answers for the entire HW and/or Quiz a second time. If you do not submit your second set of answers within one week, the grade you originally have recorded will be locked for that particular assignment.
 Proctored final examination/Project  If the course requires a proctored final, the information below should be included. If the course is a graduate course and doesn't require a proctored final, the developer should include a detailed description of the projects activities, requirements, and due dates.

 A final proctored examination will be taken in a proctored testing environment during the 8th week at one of the Park University sites around the country or at an alternative location. For proctored examinations, photo identification is required at the time of the test. Guidelines for selecting an acceptable proctor can be found on the Park University Website.
 Other Information on proctored exams:
 It will be the responsibility of the student to arrange for a proctor, by the 6th week of the term, who is accepted and approved by the course instructor.
 Approval of proctors is the discretion of the Online instructor.
 A proctor request form will be made available to you during the first week of class so that you can send your requested proctor to your instructor for approval.
 Failure to take a final proctored exam (or submit your final project for some online graduate courses) will result in an automatic "F" grade.
Course Grading Scale
A = 90 100%
B = 8089%
C = 7079%
D = 6069%
F = < 60%
Late Submission of Course Materials:
Submission of course materials are required each week. Late submission of material will not be accepted unless prior permission has been requested and been approved by the instructor. Under extraordinary circumstances, alternate arrangements may be made and approved by the instructor. (Extraordinary circumstances include personal tragedy, family bereavement, emergency hospitalization, etc.)
Classroom Rules of Conduct:
For Online courses, the most important thing you need to do is to get started. The work may look overwhelming, but if you don't start, you can never finish. Students learn differently. Each student is unique. Each student has his/her own preferred learning style. Can I create an environment where I am not the master of the subject matter, but an environment where I am a mentor helping each person to progress in their ability to learn? I hope that students understand the importance of a positive learning environment and perform to the best of their abilities at that time. I am looking forward to learning from you hopefully as much as you learn from me.
I expect you to complete assignments in a scholarly manner. This means that I expect appropriate standards of proper English usage in the course discussions.
I expect very active participation from you. I and the others in the class need to hear from you. Responding to your peers is important. Hopefully your thoughts will stimulate further ideas and discussion. I will be participating in these discussions.
I expect courteous discussions. We will be discussing some topics in which you may not agree with the responses of others. Let us agree to disagree but do so in a respectful and polite way.
I expect responses which demonstrate that you have pondered the problems in a thoughtful manner.
I expect that you will be a highly motivated student .
I expect that if you are having any problems or difficulties with this course, that you will reach out to
me and let me help you.
You cannot get much from the course without doing the assignments it is, after all, a problem solving
course! I expect you to do all of the assigned problems, besides studying example problems and alternate
questions. Your commitment for this course should be about 6 hours per week! May I suggest that you make a schedule for yourself to make sure that you are setting aside enough time to do this course properly?
I expect you to ask questions on problem assignments. If you do not, they will require much more time than you can possibly spend. You'll learn more from each other, and more quickly, than you could possibly learn on your own.
Course Topic/Dates/Assignments:
Course Schedule and Due Dates:
MAT 120  Basic Concepts of Statistics 
10/23/2006 to 12/17/2006 
Topics 
Homework and Quiz Schedule Due Dates 
Week 
Date 
Monday 

HW 
Quiz 
1 
10/23/2006 
Chapter 1 The Nature of Probability and Statistics 1.11.8 
Basic Statistical Definitions, Types of Sampling, and Studies 
HW1 
Quiz 1 
2 
10/30/2006 
Chapter 2 Frequency Distributions and Graphs 2.1  2.5 
Organizing Data, Graphs and Charts 
HW2 
Quiz 2 
3 
11/6/2006 
Chapter 3 Data Description 3.13.6 
Measures of Central Tendency, Variation, and Position, Data Analysis 
HW3 
Quiz 3 
4 
11/13/2006 
Chapter 4 Probability and Counting Rules 4.14.7 
Sample Space and Probability, Addition, Multiplication, and Conditional Rules, Rules of Probability, Counting Rules 
HW4 
Quiz 4 
5 
11/20/2006 
Chapter 5 Discrete Probability Distributions 5.15.6 
Probability Distributions, Mean, Variance and Expectation, and the Binomial Distribution 
HW5 
Quiz 5 
6 
11/27/2006 
Chapter 6 The Normal Distribution 6.16.7 
The Normal Distribution, Central Limit Theorem, Normal Approximation to the Binomial Distribution 
HW6 
Quiz 6 
7 
12/4/2006 
Chapter 7 Confidence Intervals and Sample Size 7.17.6 
Confidence Intervals for the Population Mean when sigma is Known and Unknown, Confidence Intervals and Sample Size for Proportions, Confidence Intervals for Variances and Standard Deviations 
HW7 
Quiz 7 
8 
12/11/2006 
Chapter 8 Hypothesis Testing 8.18.4, Chapter 10 Correlation and Regression 10.110.3 
Hypothesis Testing, zscores, tscores, Scatter Plots, Correlation 
HW8 
End Date 
12/17/2006 


Final Exam (Chapters 17) 
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 20062007 Undergraduate Catalog Page 8789
For each Homework, Quiz or Exam submitted for grading, students acknowledge an "unfair advantage" clause. By acknowledging this clause students are stating that they did not cheat, used materials not permitted, used more time than allotted, or gained an unfair advantage over other students in the class by any means. The following is an example of an unfair advantage clause: "I am submitting this document for grading. By placing my name and the date on the line below, I am stating that I did not have an unfair advantage over other students taking this course."
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 20062007 Undergraduate Catalog Page 87
Attendance Policy:
Instructors are required to maintain attendance records and to report absences via the online attendance reporting system.
 The instructor may excuse absences for valid reasons, but missed work must be made up within the semester/term of enrollment.
 Work missed through unexcused absences must also be made up within the semester/term of enrollment, but unexcused absences may carry further penalties.
 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".
 A "Contract for Incomplete" will not be issued to a student who has unexcused or excessive absences recorded for a course.
 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.
 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 20062007 Undergraduate Catalog Page 8990
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 .
Attachments:
My Expectations
What is Statistics?
Rubric
Competency  Exceeds 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 realworld problems in other disciplines with 100 % accuracy.  Can apply the concepts of probability and statistics to realworld problems in other disciplines with at least 80 % accuracy.  Can apply the concepts of probability and statistics to realworld problems in other disciplines with less than 80% accuracy.  Makes no attempt to apply the concepts to realworld 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:10/6/2006 1:55:45 PM