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Education Major Version

MA 120 Basic Concepts of Statistics
Maagoul, Habib M.


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

S1KK 2009 HA

Faculty

Maagoul, Habib M.

Title

Assistant Professor of Mathematics/Adjunct Faculty

Degrees/Certificates

BA in Mathematics and Engineering
Master in Matematics
HS "K12"teaching Certifiacte

Office Location

Hanscom AFB

Office Hours

Before or after the class

Daytime Phone

Email is the best way to contact me!

Other Phone

478-714-5210

E-Mail

habib.maagoul@park.edu

shiffu_16@comcast.net

Semester Dates

01/12/2009 - 03/08/2009

Class Days

-M-W---5:30p 8:30p

Class Time

5:30 - 8:30 PM

Credit Hours

3


Textbook:

Required Text: ElementaryStatistics, 10th  Ed                                                                                     
Author: Mario F. Triola
Publisher: Addison-Wesley
ISBN: 0-321-52291-5

 

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 800-270-4347.
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.
Park Helpdesk - If you have forgotten your OPEN ID or Password, or need assistance with your PirateMail account, please email helpdesk@park.edu or call 800-927-3024
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. 3:0:3
 
 

In order to demonstrate the ability to locate, organize, and analyze information from a variety of resources with emphasis on the use of information technology, the student will minimally be expected to use the TI-83 or TI-84 graphics calculator regularly in class and on tests and assignments.

 

Educational Philosophy:

The facilitator’s educational philosophy is one of interactiveness based on lectures, quizzes, dialogues, examinations, internet, videos. The facilitator will connect each learner in what is referred to as disputatious learning to give confidence the lively exploration of ideas, issues and contradictions.

.

Learning Outcomes:
  Core Learning Outcomes

  1. Compute descriptive statistics for raw data as well as grouped data.
  2. Determine appropriate features of a frequency distribution.
  3. Apply Chebyshev's Theorem.
  4. Distinguish between and provide relevant descriptions of a sample and a population.
  5. Apply the rules of combinatorics.
  6. Differentiate between classical and frequency approaches to probability.
  7. Apply set-theoretic ideas to events.
  8. Apply basic rules of probability.
  9. Apply the concepts of specific discrete random variables and probability distributions.
  10. Compute probabilities of a normal distribution.
  11. Compute confidence intervals of means and percentages.
  12. Perform hypothesis tests involving one population.
  13. Compute regression and correlation of Bi-variate 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 two-dimensional 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 non-standard normal probability distribution.

6.         Compute and interpret a confidence interval for a mean and/ or for a proportion.

Link to Class Rubric

Class Assessment:
 

There will be 3 In-class Tests and comprehensive Final Exam. Test dates will be announced ahead of time.  Problems on tests will be similar to either the suggested exercises or problems covered in course lectures. I may also give a practice test as homework before each exam, and I will worked out thoroughly in lecture. Each test will be comprehensive i.e., any problem appearing on a previous test may also appear on subsequent tests. There will be no make-up tests given for any reason.

In the event of a missed test, the missed test will be replaced with the grade received on the final exam. If, however, two or more tests are missed for any reason whatsoever, a grade of zero will be assigned to each missed test.

Grading:
Your grade will be determined by your performance on tests, Final and will be figured according to the system described below:

       3 In-Class tests:                                    300 points Total (100 points each)

       Final                                                     200 points

There are 500 total obtainable points for this course. To determine your letter grade at the semester’s end, your total points will be tallied and averaged against the available 500 points. The point scale is as follows:
 
                     Grade = (Test1 + Test2 + Test3 + Final) / 5
 
90% to 100%   A,      80% to 89%   B,     70% to 79%   C,   60% to 69%    D,              Under 60%    F                                          
 
 
 
 

Classroom Rules of Conduct:
 

Any activity that disrupts classroom events (i.e., cellular phones or pagers ringing in class, bringing children to class, loud talking, sleeping in class, etc…) will result in the student(s) being asked to leave the classroom. In addition, students who come to class late or leave early disturb other students as well as the instructor. The instructor reserves the right to deduct points at his discretion from the course grade of any student who persistently participates in disrupting behavior. If the problem becomes chronic, the student(s) will be assigned a grade of “F” in the course.

Course Topic/Dates/Assignments:
 

WEEK
 

1

 

Syllabus & Classroom Policies & Introduction to Statistics

2.2       Frequency Distribution

                                Suggested Exercises:1-17 odd

2.3       Histograms

                                Suggested Exercises:1-17 odd
 
2.4      Stalistical Graphicss
 
                        Suggested Exercises:1-15 odd

3.2       Measures of Center

                                Suggested Exercises:1-11 odd, 17, 19, 25

2

3.3       Measures of Variation

                                Suggested Exercises:1-19 odd

3.4       Measures of Relative Standing

                                Suggested Exercises: 1-9 odd, 15, 17, 21, 25

4.2       Fundamentals

                        Suggested Exercises: 3-19 odd, 23

3

Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1

4.3       Addition Rule

                                Suggested Exercises:1-21 odd

 

4

4.4       Multiplication Rule: Basics

                        Suggested Exercises:1-13 odd, 21, 23

4.5       Multiplication Rule: Complements and Conditional Probability

                                Suggested Exercises:1, 3, 7, 9, 11, 13, 15, 19, 21, 25

4.7       Counting

                                Suggested Exercises:1-15 odd, 19-29 odd

5.2       Random Variables

                        Suggested Exercises:1, 3, 5, 7, 9, 11, 13, 21

 

 

5

5.3       Binomial Probability Distributions

                        Suggested Exercises: 1-7 odd, 11-19 odd, 25-31 odd

5.4       Mean, Variance, and Standard Deviation for the Binomial Distribution

                        Suggested Exercises:1-13 odd

Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –

6

6.2       The Standard Normal Distribution

                        Suggested Exercises:937 odd and 41

6.3       Applications of Normal Distributions

                                Suggested Exercises:1-13 odd, 17, 19

6.4       Sampling Distributions and Estimators

                       

6.5       The Central Limit Theorem

                        Suggested Exercises: 1-15 odd

7

8.1       Overview

                               

8.2       Basics of Hypothesis Testing

                        Suggested Exercises: 5-19 odd and 29-39 odd

8.4       Testing a Claim About a Mean: Known

                        Suggested Exercises: 1, 3, 9, 15, 17

8.5       Testing a Claim About a Mean: Not Known

                        Suggested Exercises: 1, 3, 13, 15, 17, 19, 25

8

Test 3 – Test 3 – Test 3 – Test 3 – Test 3 – Test 3 – Test 3 – Test 3 – Test 3 – Test 3 – 

 

 

Final Exam: Last the day of class

 

Course Content:

Attached is a tentative outline of material to be covered. This schedule and material
 is subject to change at the discretion of the instructor.

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 2008-2009 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 2008-2009 Undergraduate Catalog Page 87

Attendance Policy:
Instructors are required to maintain attendance records and to report absences via the online attendance reporting system.

  1. The instructor may excuse absences for valid reasons, but missed work must be made up within the semester/term of enrollment.
  2. Work missed through unexcused absences must also be made up within the semester/term of enrollment, but unexcused absences may carry further penalties.
  3. 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".
  4. A "Contract for Incomplete" will not be issued to a student who has unexcused or excessive absences recorded for a course.
  5. 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.
  6. 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 2008-2009 Undergraduate Catalog Page 89-90

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

CompetencyExceeds 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 real-world problems in other disciplines with 100 % accuracy. Can apply the concepts of probability and statistics to real-world problems in other disciplines with at least 80 % accuracy. Can apply the concepts of probability and statistics to real-world problems in other disciplines with less than 80% accuracy. Makes no attempt to apply the concepts to real-world 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:12/25/2008 2:18:11 PM