# MA120 Basic Concepts of Statistics

## for FA 2008

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 FA 2008 HOA Faculty Birmingham, Thomas H. Title Adjunct Faculty Daytime Phone 816.584.6331 and leave message E-Mail p416661@pirate.park.edu Semester Dates August 18, 2008 - December 12, 2008 Class Days -M-W-F- Class Time 9:00 - 9:50 AM Prerequisites None. Credit Hours 3

Textbook:
Introduction to Statistics, 10th Edition.  Mario F. Triola. Pearson Addison-Wesley.

See online syllabus for additional detail.

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

Educational Philosophy:
My goal is to provide students with an understanding of concepts of probability, data collection and analysis as well as the skills and knowledge necessary to critically analyze statistical information.

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.

Class Assessment:
The course will consist of lectures by the instructor, problem solving practice, and tests.

Tests
The tests will consist of problems selected from the homework assignments or similar problems.  Although homeowrk assignments are not graded, your success on tests will be directly proportional to the effort you put in to the homework assignments.

You will be allowed to re-take one test during the semester provided that you have received at least one hour of tutoring on the content of the test and the instructor agrees that you have made a serious effort to learn the material.  You must make up the test within one week.  You may not re-take the final exam.

You will complete the following tests:

Chapters 1-3, Chapters 4-5, Chapters 6-7, Chapter 8, Final (Comprehensive).

• Grading will be based on performance on tests.
• Students will start the semester with a 50 point attendance grade.  After the first unexcused absence, five points will be deducted from this grade for each additional absence.  If at the end of the semester, your attendance grade is higher than the lowest grade on a chapter test, the attendance grade will replace that lowest test grade (Final exam is not included).
• The final grade will be determined based on the final percentage of total points possible using this scale:

A= 90-100%   B= 80-89%   C= 70-79%   D= 60-69%   F= 0-59%

Classroom Rules of Conduct:
Student Responsibilities:

• Set high goals for achievement in class.  Keep a positive attitude about your ability to understand statistical concepts.
• Be in class on time.
• Be prepared to participate in class activities.
• Don't engage in activity that interferes with the learning of others.  Egregious violation of this rule will result in the offending student being removed from class.
• Ask when you need clarification.  The only stupid question is the one that is not asked!
• Get tutoring help when needed (see Office Hours in the header).
• All students are expected to be sitting in their chairs when class begins.
In-class Study Time:
Some classroom time may be allotted for working on assignments.  This time is an opportunity for the students to get individualized help from the instructor and/or fellow students.  All students are expected to remain in the class during in-class study time.

Ethics
Each student is expected to do his/her own work both in and out of the classroom.  Cheating will result in a zero for that assignment.  An egregious breach of ethics could result in an F for the class.

Course Topic/Dates/Assignments:
See online syllabus for additional detail.

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

Additional Attendance Information per Tom Birmingham:

1.  Attendance in classes is essential to successful completion of the course.  Students who are absent for four consecutive class periods without legitimate reason will automatically be dropped from the course.
2.  Students are expected to attend every class.  If you know before you enroll you will not be able to make every class meeting, you should consider not enrolling in the class.
3.  Students are responsible for learning the information missed due to an absence.  Class time cannot be used for this purpose.  I will be available during office hours to assist you with making up missed classes.
4.  Tardiness not only deprives the student of valuable class time but also disrupts the learning process.  Students are expected to be sitting in their chairs when class begins.

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 .

This course is an introduction to those basic concepts in probability and statistics that are pertinent to most disciplines.  This course is appropriate for a wide variety of career pursuits from social sciences to education to engineering and business.

Although this course does not require the mathematical rigor that one might encounter in other mathematics courses, a basic understanding of algebraic manipulation is helpful.  Some computation is required but the emphasis will be on understanding of concepts.

Materials:

Unless you really enjoy the tedious computation, a calculator will be a very useful tool.  You do not need an expensive one, but it should have at least a square root key.  Other useful features would be x!, nPr and nCr keys.

Note:  The instructor reserves the right to alter the objectives of the course based on the progress of the class and other factors.

Rubric

 Competency Exceeds Expectation (3) Meets Expectation (2) Does Not Meet Expectation (1) No Evidence (0) Evaluation                                                                                                                                                                                                                                                 Outcomes10 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                                                                                                                                                                                                                                                  Outcomes10 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                                                                                                                                                                                                                                                   Outcomes10 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                                                                                                                                                                                                                                                Outcomes4,5,7 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                                                                                                                                                                                                                                                   Outcomes1,6 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                                                                                                                                                                                                                                                Outcomes1,2,3,8,9 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                                                                                                                                                                                                                                             Outcomes7,8 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                                                                                                                                                                                                                                                 Outcomes1 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.