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## MA 120 Basic Concepts of StatisticsSpring, David K.

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 F1Q 2010 FEW Faculty Spring, David K. Title Mathematics Adjunct Instructor Degrees/Certificates M.S. StatisticsB.S. Mathematics E-Mail david.spring@park.edu Semester Dates 16August2010 through 10Oct2010 Class Days Wednesday Class Time 5:00 - 10:15 Credit Hours 3

Textbook:
Elementary Statistics - 11th Ed by Mario F. Triola, Addison-Wesley

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.
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Course Description:
A development of certain basic concepts in probability and statistics that are pertinent to most disciplines. Topics include: probability models, parameters, statistics and sampling procedures, hypothesis testing, correlation, and regression. 3:0:3

Educational Philosophy:
The instructor's educational philosophy is one of interactiveness based on readings, quizzes, dialogues and examinations.

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:

You will be evaluated on the total number of points you earn as compared to the greatest amount of points that may be earned in each course activity. In determining the number of points assigned to an activity, the major factors will be the following questions:

Was the work completed?
Was the work completed correctly?
Was the work completed on time?

Each student is responsible for:

Completing weekly reading assignments.
Attending weekly class.
Completing seven substantial homework assignments.
Completing six quizzes.
Completing a comprehensive examination during Week 8

Homework groups of 2-3 students may be formed to complete the weekly book exercises only.

In the case that you do form these groups, please then submit just one weekly homework assignment for all group members.

Grading:

Grading:

 Assignment % of Grade Points Homework #1 3.4% 20 Homework #2 3.4% 20 Homework #3 3.4% 20 Homework #4 3.4% 20 Homework #5 3.4% 20 Homework #6 3.4% 20 Homework #7 3.4% 20 Quiz #1 4.3% 25 Quiz #2 4.3% 25 Quiz #3 4.3% 25 Quiz #4 4.3% 25 Quiz #5 4.3% 25 Quiz #6 4.3% 25 Comprehensive Final Examination 30% 175 Class Participation 20.5% 120 Total 100% 585

You will be able to track your average throughout the course. The grading scale is as follows:

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

The final is part of the core assessment. The final is a departmental exam and it will be provided to the instructor by the department of mathematics. The final is 2 hrs; books, notes, and a calculator are allowed.

Late Submission of Course Materials:

Quiz and homework value is reduced by 10% for each day late after the original due date.

Classroom Rules of Conduct:

Course Topic/Dates/Assignments:

TENTATIVE SCHEDULE
Week  Chapter(s)

Week 1 - Introduction to Statistics (Chapter 1)

Week 2 - Summarizing and Graphing Data (Chapter 2)

Week 3 - Statistics for Describing, Exploring and Comparing Data (Chapter 3)

Week 4 - Probability (Chapter 4)

Week 5 - Probability Distributions (Chapter 5)

Week 6 - Normal Probability Distributions (Chapter 6)

Week 7 - Estimates and Sample Sizes (Chapter 7)

Week 8 - Hypothesis Testing, Correlation and Regression (Chapters 8, 10)

WEEKLY ASSIGNMENTS:

Week(s) Assignment

1 – 7 Book exercises will be provided weekly.

QUIZZES/FINAL EXAM

Week(s) Assignment

2 - 7 Weekly Quiz

8 Final Examination

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 2010-2011 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 2010-2011 Undergraduate Catalog Page 92-93

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.

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:

Bonus opportunities will be provided weekly, with an opportunity to earn up to 30 bonus points.

If more than two classes are missed, whether excused or unexcused, the student will earn an F for the class.

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.

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Last Updated:7/20/2010 3:50:34 PM