# MA120 Basic Concepts of Statistics

## for F1OO 2010

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| MA 120 Basic Concepts of Statistics |

| F1OO 2010 WO |

| Palmer, Michael L. |

| Adjunct Faculty |

| Graduate Certificate, Cost Management, Naval Post Graduate School |

| By appointment only. |

| By appointment only. |

| (573) 563-5468 |

| (573) 317-9325 |

| |

| 16 AUG - 10 OCT 2010 |

| ----R-- |

| 5:00 - 10:20 PM |

| None |

| 3 |

**Textbook:**

Triola, Mario F., Elementary Statistics, 11th Edition, Addison Wesley, 2010. ISBN-10: 0321500245 OR ISBN-13: 9780321500243

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.

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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:**

The instructor's educational philosophy is based on the concept of applied learning. It is believed that to benefit fully from an education, students must aggressively read and study course material on a daily basis, continually applying and building upon their knowledge base. Students are expected to be well prepared to discuss the text examples and assignments provided in each chapter. Discussion of these examples and assignments will determine the student’s mastery of the subject material.

**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 set-theoretic 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 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.

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

Link to Class Rubric**Class Assessment:**

Students are expected to read the sections to be discussed in class prior to the class and be prepared to work examples and ask questions. Homework will be reviewed during class. Mathematics can only be learned through practice; therefore, 25% of your grade will be based on homework. All examinations will be modeled from the homework problems, so there should be no surprises to students who have done the required homework. Show all of your work on homework assignments and exams! An answer with no work shown is either right or wrong; but, an answer showing your work may get some credit, even if it is not completely correct. There will be 2 quizzes, a midterm and final exam. In addition to the 8 graded assignments, selected exercises will be assigned and completed in class.

**Grading:**

Final grades will be based on the following weights: Mid Term Exam 25%, Final Exam 25%, Homework 25%, Quizzes 15%, Class Participation 10%. Letter grades are assigned (based on your overall score) as follows: A = 90 % or above, B = 80 - 89%, C = 70 - 79%, D = 60 - 69%, F = 59% or below.

**Late Submission of Course Materials:**

Homework must be turned in at the beginning of class on the day it is due. The date due will be annotated at the beginning of each assignment. Late homework will be accepted at the start of the next class meeting but will incur a 1.5% per day reduction in score. The instructor will accept late assignments if extenuating circumstances exist. Late homework will not be accepted past the mid-term or final exam dates for all preceding homework assignments. If you are going on TDY, then you are responsible to let me know.

**Classroom Rules of Conduct:**

Students must read all assigned chapters for that night prior to that scheduled class meeting. Students are expected to be well prepared to discuss examples and assignments provided at the end of each chapter or handed out by the instructor. Students are expected to come to all classes and be on time. Classes missed for legitimate reasons: illnesses, death in the family, work assignments, and temporary duty are excusable. The student is responsible for providing the instructor a reason for the excused absence either prior to or immediately after the absence. The student is expected not to be disruptive during the class.

**Course Topic/Dates/Assignments:**

Attached.

**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.

- 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 2010-2011 Undergraduate Catalog Page 95-96

**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:**

Course Agenda**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 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. |

**Copyright:**

and can not be reused without author permission.

**Last Updated:***8/10/2010 4:26:33 PM*