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Education Major Version

MA 120 Basic Concepts of Statistics
Bacopulos, Dionysia S.


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

S1Y 2009 MN

Faculty

Bacopulos, Dionysia S.

Title

Adjunct instructor

Degrees/Certificates

B.S.E.  Univerisity of Memphis, 1979
M.S. University of Memphis, 1982

Office Location

The Classroom

Office Hours

Before and after class and by appointment

Daytime Phone

324-6653

E-Mail

dionysia.bacopulos@park.edu

Semester Dates

Jan 12, 2009 - Mar 7, 2009

Class Days

-M-----

Class Time

5:00 - 9:30 PM

Credit Hours

3


Textbook:
 Elementary Statistics, Tenth Edition by Mario Triola

 Published by Pearson Addison Wesley, Boston 2006
Textbooks may be purchased through
   MBS Bookstore
   half.com
   the Parkville Bookstore
If you prefer an e-book at a cost of $65 go to:
   coursecompass.com        the course code is bacopulos34332

Additional Resources:
Some of the books you purchase will include a student access code for MyMathLab.  If so you will not have to pay the $65 when you log into coursecompass.

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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 goal in teaching mathematics is three-fold: to make clear mathematical concepts, to help students acquire mathematical skills and to encourage and inspire them to continue in their study of mathematics in a way that supports their life goals. As a teacher of a course, it is my responsibility to set and maintain the standards of this course – what is to be taught and how students’ performance is to be assessed. The goals of this course are specified in a manner that affords me the flexibility to adapt to students’ needs: a careful balance must be achieved to be covered in the course and the ability of the students to learn those topics. The pursuit of this balance is dynamic. I continually try to find a better way to achieve the same goals. As a teacher of mathematics, I am challenged to provide the highest quality instruction I can for students from all backgrounds. My ultimate goal is to find the experience of taking a course from me to be enriching in one way or another regardless of their final grade.

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.


  Instructor 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 three  one hour exams. Each is worth 100 points each. The final examination is comprehensive and will count 200 points.

 

Grading:
GRADING:

            Three tests 100 points each     300

            Final Examination                 _200__

            Total Points                              500

Your total points will be divided by 5 to obtain your class average. Your class grade depends on this average.

GRADING SCALE:

GRADE

PERCENT

A

90 – 100

B

80 – 89.9

C

70 – 79.9

D

60 – 69.9

F

00 – 59.9

 

Late Submission of Course Materials:

Late material will not be accepted. Tests must be taken on the scheduled date. If the instructor determines that an extreme situation prevented the student from taking a test on the scheduled date the student may be allowed to make up the test however this is not automatic. In all such cases, the instructor’s decision on whatever allowances, if any, will be final. The final exam cannot be made up.

Classroom Rules of Conduct:

Turn off all cell phones and pagers. If you are going to be absent let me know prior to the day you will not be in class. During a test you must use your own calculator. You may not use your phone as a calculator.

Course Topic/Dates/Assignments:
  SPRING I 2009

MONTH

DATE

DAY

TOPIC

JAN

12

M

Intro, 1.1, 1.2, 2.1, 2.2, 2.3, 3.2, 3.3, 3.4, 3.5

19

M

 Holiday

26

M

4.2, 4.3, 4.4, 4.5, 4.6, 4.7

 

FEB

02

M

TEST # 1, 5.2, 5.3, 5.4, 5.5

09

M

6.2, 6.3, 6.4, 6.5, 6.6, 7.2, 7.3, 7.4, 7.5

16

M

TEST # 2, 8.2, 8.3, 8.4

23

M

9.2, 9.3, 9.4, 10.2, 10.3

 

MAR

02

M

TEST # 3, 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 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 .


Attachments:
Chapter 5 worksheet

Chapter 6 worksheet

Chapter 6 worksheet answers

Chapter 8 worksheet

Chapter 9 worksheet

Chapter 10 Worksheet - correlation and regression.doc

MyMathLab/ Coursecompass instructions

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:11/23/2008 9:50:38 PM