MA120 Basic Concepts of Statistics
for S2B 2011
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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  S2B 2011 BLC 
Faculty  Noriz, John M. 
Title  Adjunct Faculty 
Degrees/Certificates  B.S. Business Management University of Phoenix MBA University of Phoenix Texas Certified Mathematics Teacher 
Office Location  Fort Bliss 
Office Hours  Fri 4:30pm to 10:30pm 
Other Phone  9153428015 
EMail  John.Noriz@park.edu 
 jnoriz9@gmail.com 
Semester Dates  21 Mar  15 May 2011 
Class Days  Friday 
Class Time  5pm  10pm 
Prerequisites  Intermediate Algebra helps but not required 
Credit Hours  3 
Textbook:
Triola, Mario F, Elementary Statistics, 11th Edition, 2010, Addison Wesley. ISBN10:0321500245
Textbooks can be purchased through the MBS bookstore
Textbooks can be purchased through the Parkville Bookstore
Additional Resources:
A TI 83 or 84 Plus calculator is helpful but not necessary. Microsoft Excel can be used in place of a calculator.
McAfee Memorial Library  Online information, links, electronic databases and the Online catalog. Contact the library for further assistance via email or at 8002704347.
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.
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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. 3:0:3
Educational Philosophy:
My educational philosophy is based on the active involvement of the student in all aspects of the learning process. Engaging students through lectures, classroom discussions, group work, reading, writing and assessments are important components of the learning process. A student is required to learn and practice basic reasoning and problem solving skills. You must read your textbook and work the examples to be able to do the homework. Do not rely strictly on the lectures and in class work. Do not rush through the homework, take the time to actually learn and grasp the concepts in small sections at a time. Do not spend too much time on any single problem, move on and write it down for discussion in class. Each student will be responsible for the comprehension, application, analysis, synthesis and evaluation of presented information and materials. Feedback will be provided to each component as the course progresses
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.
Instructor Learning Outcomes Organize, group and analyze the mean, median, mode, and standard deviation in a variety of way.
 Distinguish and compare the mean and standard deviation of a grouped frequency distribution with 4 classes.
 Compare and contrast randomness and probability. Explain the rules for probability and give examples of each. Formal Probabilties, Addition, Multiplication, Independent and Dependent events.
 Design, organize and construct Statistics Models from the world at large to make predictions, forecasts and conclusions from the 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:
Assignments

Points

Percent

HW

5 @ 1

5%

Quizzes

5 @ 1

5%

Midterm

25

25%

Project

25

25%

Final

40

40%

Total

100

100%

Grading:
Grading Scale 
90% ≤ A ≤ 100% 
80% ≤ B ≤ 89% 
70% ≤ C ≤ 79% 
60% ≤ D ≤ 69% 
59% ≤ F 
Late Submission of Course Materials:
Students must contact Instructor for submission of any late work.
Classroom Rules of Conduct:
Students will act appropriate and professional. Students will create and maintain an environment beneficial to learning. Cell Phones should be turned on vibrate before entering the classroom. If you must take a call, I expect you to leave the room while you do so. I consider it academic misconduct for you to be using your cell phone or other electronic equipment in class.
Course Topic/Dates/Assignments:
Week 1 Chapter 1 Introduction: Statistical Thinking
Chapter 2 Graphing Data
HW Ch 1 & 2
Quiz Ch 1& 2
Week 2 Chapter 3 Describing, Exploring, and Comparing Statistical Data
Chapter 4 Probability
Chapter 5 Probability Distribution
Project Introduction
HW Ch 3 & 4
Quiz Ch 3 & 4
Week 3 Chapter 6 Normal Probability Distributions
Chapter 7 Estimates and Sample Sizes
HW Ch 5 & 6
Quiz Ch 5 & 6
Week 4 Chapter 8 Hypothesis Testing
Midterm
Project Selection
Week 5 Chapter 9 Inferences from Two Samples
Chapter 10 Correlation and Regression
HW Ch 7 & 8
Quiz Ch 7 & 8
Week 6 Chapter 15 Projects, Procedures and Perspectives
HW Ch 9 & 10
Quiz Ch 9 & 10
Week 7 Project Presentations
Week 8 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 students and faculty members are encouraged to take advantage of the University resources available for learning about academic honesty (www.park.edu/current or http://www.park.edu/faculty/).from Park University 20102011 Undergraduate Catalog Page 92
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. from Park University 20102011 Undergraduate Catalog Page 9293
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 20102011 Undergraduate Catalog Page 9596
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:
Tutoring is available at the Valle Verde Campus located at 919 Hunter Bldg A. EPCC Tutoring Services hours of operations are as follows:
MonThur 8am7pm
Fri 8am3pm
Sat 9am2pm
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. 
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Last Updated:4/14/2011 8:07:44 PM