MA120 Basic Concepts of Statistics
for U1DD 2009
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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  U1DD 2009 DC 
Faculty  Fricke, Klaus K. 
Title  Instructor/Adjunct Faculty 
Degrees/Certificates  M.B.A. B.S. Business Administration Associate in Engineering 
Office Location  Columbus, OH 
Office Hours  By appointment 
Daytime Phone  6148916184 
EMail  klaus.fricke@park.edu 
 frickek@sbcglobal.net 
Semester Dates  June 01  July 26, 2009 
Class Days  Wednesday 
Class Time  5:00  10:45 PM 
Credit Hours  3 
Textbook:
Elementary Statistics , 11th Edition, Tiola, Mario F. ISBN 13: 9780324783513; 10: 0324783515
Textbooks can be purchased through the
MBS bookstore or the
Parkville bookstore
Additional material required: This course will require a TI83 or TI83 Plus calculator.
Textbooks can be purchased through the MBS bookstore
Textbooks can be purchased through the Parkville 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 8002704347.
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Resources for Current Students  A great place to look for all kinds of information http://www.park.edu/Current/.
Course Description: MA120 Basic Concepts of Statistics (GE): 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.
Educational Philosophy:
This course will employ a combination of lecture and class participation in problem solving strategies. Since this course emphasizes problem solving, each class session will include a homework assignment.
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.
 Compute confidence intervals of means and percentages.
 Perform hypothesis tests involving one population.
 Compute regression and correlation of Bivariate data.
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 standard normal probability distribution or with 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:
Assessment of learning will be accomplished through weekly quizzes, homework assignments, class discussions, and a comprehensive final examination. No makeup quizzes will be given without advance notification.. Quizzes will be takehome. The final exam will have both a takehome and an inclass component.
Grading:
The final course grade will be determined using the following measurements:
Six Weekly Quizzes (5 points each) 30
Six Weekly Homeork Assignments (5 points each) 30
Final Exam 30
Class Participation 10
Total 100
Late Submission of Course Materials:
Late homework assignments will be penalized 25% unless the late assignment was due to an excused absence. No makeup quizzes will be permitted except by advance permission. No credit will be given for assignments > 2 weeks past due except with advance permission.
Classroom Rules of Conduct:
Students are required to attend all class meetings and to complete all assigned homework and quizzes. Students are expected to read the assignments and come to class prepared to discuss the assigned homework. Each class will include a review of previous assignments and a discussion of new material.
Calculators will be required for homework, quizzes, and tests.
Please respect your classmates by arriving for class on time, and by holding sidebar discussions for outside the classroom.
Cell phones and pagers are to be on vibrate or turned off. No Text messaging is permitted during lectures or exams.
Course Topic/Dates/Assignments:
Week 
Date 
Topic 
Text Sections/Assignments 
1 
06/03 
Introduction; Summarizing and Graphing Data

11  14; 21  24

2 
06/10 
Descriptive Statistics 
31  35 ;
Homework 1 / Quiz 1

3 
06/17 
Probability 
41  46; Homework 2 / Quiz 2 
4 
06/24 
Discrete Probability Distributions; Normal Probability Distributions 
5155 ; 6163; Homework 3 / Quiz 3 
5 
07/01 
Normal Probability Distributions; Confidence Intervals and Sample Size 
6466; 71  74 Homework4 / Quiz 4 
6 
07/08 
Hypothesis Testing 
81  85; Homework 5/ Quiz 5 
7 
07/15 
Correlation and Regression 
101104 ; Homework 6; /Quiz 6; Final Exam Review 
8 
07/22 
Final Exam 

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 20082009 Undergraduate Catalog Page 87
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 20082009 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 "F".
 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.
Park University 20082009 Undergraduate Catalog Page 8990
Any student who is habitually tardy (more than 2 occurences)will be subject to grade penalties up to 10% of their grade.
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
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:4/30/2009 5:45:22 PM