MA120 Basic Concepts of Statistics
for S1T 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  S1T 2006 DLD 
Faculty  Spring, David K. 
Title  Instructor of Mathematics/ Adjunct Faculty 
Degrees/Certificates  B.S. Mathematics M.S. Statistics 
EMail  david.spring@pirate.park.edu 
Semester Dates  1/9/2006 through 3/5/2006 
Class Days  TBA 
Class Time  TBA 
Credit Hours  3 
Textbook:
Elementary Statistics  6th Ed by Neil A. Weiss, Addison Wesley Longman ISBN: 0201771306. This package includes student access to MathXL and MyMathLab. These tools include applets that will allow you to complete homework without buying extra statistical software.
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:
The instructor's educational philosophy is one of interactiveness based on lectures, readings, quizzes, dialogues and examinations.
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 thereof:
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 RubricClass Assessment:
Course assessment will be based on the instructor's evaluation of all completed assignments including online discussion, homework, weekly quizzes and the final exam.
Grading:
You will be assigned the following assignments. Relative weights and due dates are included.
Assignment % of Grade Due Date
Homework #1 3% Week 1
Homework #2 3% Week 2
Homework #3 3% Week 3
Homework #4 3% Week 4
Homework #5 3% Week 5
Homework #6 3% Week 6
Homework #7 3% Week 7
Quiz #1 6% Week 2
Quiz #2 6% Week 3
Quiz #3 6% Week 4
Quiz #4 6% Week 5
Quiz #5 6% Week 6
Quiz #6 6% Week 7
Class Participation 20% Continually
Proctored Examination 23% Week 8
You will be able to track your average throughout the course. The grading scale is as follows:
A = 90100
B = 8089
C = 7079
D = 6069
F = 059.
You will be evaluated on the total number of points you earn as compared to the greatest amount of points that may be earned in each course activity. 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?
Each student is responsible for:
Completing weekly reading assignments.
Participating in weekly discussions
Completing seven substantial homework assignments.
Completing six online quizzes with a minimum score of 70%.
Completing a proctored examination during Week 8
Late Submission of Course Materials:
Work received within one week of the due date will be evaluated for at most 90% credit. Work delayed more than one week will not be accepted.
Classroom Rules of Conduct:
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 courserelated questions within 2448 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 plugin, 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:
Schedule
Week Date Chapter(s)
1 January 9  15 Nature of Statistics, Organizing Data (Chapters 1 & 2)
2 January 16  22 Descriptive Measures, Regression, Correlation (Chapters 3 & 4)
3 January 23  29 Probability & Random Variables (Chapter 5)
4 January 30 – February 5 The Normal Distribution, Sampling Distribution of the Means (Chapters 6 & 7)
5 February 6  12 Confidence Intervals for One Population Mean, Hypothesis Tests for One Mean (Chapters 8 & 9)
6 February 13  19 Hypothesis Tests for One Mean , Inference for Two Population Means (Chapters 9 & 10)
7 February 20  26 Inference for Population Proportions, ChiSquare Procedures (Chapters 11 & 12)
8 February 27 – March 5 Comprehensive Final Examination (All Chapters)
WEEKLY ASSIGNMENTS:
HOMEWORK (All work must be shown to receive full credit.)
Week Date Chapter Section Exercises
1 January 15 1 4, 6, 10, 12, 16, 26, 36, 44, 50
2 4, 8, 20, 42, 64, 76, 90
2 January 22 3 6, 10, 42 (a & b), 62, 66 (a, b, c), 86
4 8, 18, 44, 66, 88
3 January 29 5 2, 6, 12, 30, 32, 42, 46, 58, 68a, 84 (a & b)
4 February 5 6 12, 22, 30, 40, 48, 54, 66
7 30, 56
5 February 12 8 20, 42, 66
9 10, 24
6 February 19 9 74
10 24, 66
7 February 26 11 38, 54
12 8, 18, 58
ONLINE DISCUSSION
Week Date Chapter Assignment
1 January 15 12 Four posts: Two posts in the Discussion thread & two posts in the introduction thread.
2 January 22 34 Four posts: Two posts in the Discussion thread & two posts in one of the Article threads.
3 January 29 5 Four posts: Two posts in the Discussion thread & two posts in one one of the Article threads.
4 February 5 67 Four posts: Two posts in the Discussion thread & two posts in one one of the Article threads.
5 February 12 89 Four posts: Two posts in the Discussion thread & two posts in one of the Article threads.
6 February 19 910 Four posts: Two posts in the Discussion thread & two posts in one of the Article threads.
7 February 26 1112 Four posts: Two posts in the Discussion thread & two posts in one of the Article threads.
QUIZZES/FINAL EXAM
Week Date Chapter Assignment
1 January 15 12 N/A
2 January 22 34 Quiz 1
3 January 29 5 Quiz 2
4 February 5 67 Quiz 3
5 February 12 89 Quiz 4
6 February 19 910 Quiz 5
7 February 26 1112 Quiz 6
8 March 5 All Final Examination
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 20052006 Undergraduate Catalog Page 8587
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 20052006 Undergraduate Catalog Page 8587
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 "WH".
 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 20052006 Undergraduate Catalog Page 89
Park University 20052006 Undergraduate Catalog Page 89
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. Park University is committed to meeting the needs of all learners that meet the criteria for special assistance. These guidelines are designed to supply directions to learners 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 American with Disabilities Act of 1990, regarding learners with disabilities and, to the extent of any inconsistency between these guidelines and federal and/or state law, the provisions of the law will apply. Additional information concerning Park University's policies and procedures related to disability can be found on the Park University web page: http://www.park.edu/disability .
Additional Information:
Rubric
Competency  Exceeds Expectation (3)  Meets Expectation (2)  Does Not Meet Expectation (1)  No Evidence (0) 
Critical Thinking     
Synthesis Outcomes  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  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.

Evaluation Outcomes  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.

Content     
Terminology Outcomes  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  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  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.

Technical Skills     
Whole Artifact Outcomes  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.

Component Outcomes  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.

M/LL Courses Outcomes     
Copyright:
This material is copyright and can not be reused without author permission.