MA120 Basic Concepts of Statistics
for U1T 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  U1T DLD 2006 
Faculty  House, Walter W. 
Title  Instructor/Adjunct Faculty 
Degrees/Certificates  B.S. Business M.S. Administration 
Office Location  DSCC, Columbus, OH 
Office Hours  11 AM  1 PM EDT 
Daytime Phone  6146920668 
EMail  walter.house@park.edu 
Semester Dates  6/05/06  7/30/06 
Class Days  TBA 
Class Time  TBA 
Prerequisites  None 
Credit Hours  3 
Textbook:
Elementary Statistics: A Step by Step Approach, 3rd ed., by Allan G. Bluman, published by McGrawHill 2006, ISBN 0072976217
Textbooks can be purchased though the MBS bookstore
Textbooks can be purchased though the Parkville Bookstore
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:
My philosophy is to engage each student through lecture, discussion, readings, quizzes, examinations, and other means to bring the subject to life.
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 Rubric
Class Assessment:
Students will be assessed using an examination, homework assignments, quizzes, and online participation.
Grading:
Grading will generally follow this scheme:
Online participation  20%, Homework  30%, Quizzes  30%, and
Final  20%
A = 90100, B = 8089, C = 7079, D = 6069, F = 059
Late Submission of Course Materials:
All work should be completed by the end of each course week. Access to each week will end by the following Friday. If the student does not complete the work by that following Friday, a zero (0) grade will be administered.
Classroom Rules of Conduct:
Each student is expected to be present (online) and participate as appropriate for the entire class throughout the term.
Course Topic/Dates/Assignments:
Week 1 (6/5): Ch. 1
Week 2 (6/12): Ch. 2
Week 3 (6/19): Ch. 3
Week 4 (6/26): Ch. 4
Week 5 (7/3): Ch. 5
Week 6 (7/10): Ch. 6
Week 7 (7/17): Ch. 7
Week 8 (7/24): Ch. 8 (sec. 14), Ch. 10 (sec. 14), Final (chapters 18 and 10), open book
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
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 .
Additional Information:
Rubric
Competency  Exceeds Expectation (3)  Meets Expectation (2)  Does Not Meet Expectation (1)  No Evidence (0) 
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.


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.


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.
Last Updated:5/21/2006 8:34:01 PM