# MA120 Basic Concepts of Statistics

## for SP 2009

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| MA 120 Basic Concepts of Statistics |

| SP 2009 HOE |

| McCandless, Peter H |

| Associate Professor of Mathematics |

| Ph.D., Curriculum and Instruction with emphasis in math education |

| Natural Sciences Building 002 |

| Monday, 11:00 - 12 noon, Tuesday and Thursday, 1:30 - 4:00 p.m. |

| 816 584 6831 |

| |

| January 12, 2009 - May 8, 2009 |

| --T-R-- |

| 11:35 - 12:50 PM |

| None |

| 3 |

**Textbook:**

Elementary Statistics, Tenth Edition, Triola, Mario F. Person Education. 2006 ISBN: 0321331834

**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

**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 their study of mathematics in a way that supports their goals in life. As the teacher of a course, it is my responsibility to set and maintain the standards of the course – what is to be taught and how students’ performance is to be assessed. The goals of the course are specified in a manner that affords me the flexibility to adapt to students’ needs: a careful balance must be achieved between the topics to be covered in the course of a semester and the ability of students to learn those topics. The pursuit of this balance is dynamic. I am never totally comfortable with my performance as I continually try to find a better way to achieve the same goals. The learning of mathematics is and has been a humbling experience for me. I have never pushed my mind as hard as in the pursuit of learning this wonderfully challenging subject. It is difficult in words to describe the joy of finally grasping some concept that has long eluded me, or completing a difficult proof. The frustration associated with studying mathematics can be equally severe. As a teacher of mathematics, I rely heavily on this experience. It allows me to empathize with the struggling student, yet to encourage him or her, demanding performance just a little beyond what is often comfortable. It convinces me that many, many students never achieve their potential. For me, teaching this subject embodies four roles that I thoroughly enjoy integrating: coach (the encourager); parent (the demander); friend (the sustainer); and instructor (the clarifier). As a teacher of mathematics, I am challenged to provide the highest quality instruction I can for students from all backgrounds. My ultimate goal for each student 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**

- 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:**

There will be two tests during the semester and a final exam during final exams week. There will be several homework assignments.

**Grading:**

Homework Assignments collectively constitute 25% of the grade. Test 1 and Test 2 each constitute 25% of the grade, and the final exam constitutes the remaining 25% of the grade. All homework assignments are weighted equally. The lowest homework assignment score will not be included in the homework average. The final exam score will replace the lower of Test 1 or Test 2, provided that it is higher than at least one of them. Each homework assignment will be given a score of 4, 3, 2, 1, or 0

**Late Submission of Course Materials:**

Each homework assignment must be turned in on the due date announced. **Late homework will not be accepted**. Similarly, tests must be taken on the date they are given in class. If the instructor determines that an extreme situation prevented the student from taking a test, the student may be allowed to make up a missed test; it is not automatic, however. In all such cases, the instructor’s decision on whatever allowance, if any, is to be given, is final.

**Classroom Rules of Conduct:**

**Course Topic/Dates/Assignments:**

Chapters 1 through 8, time permitting.

**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.

- 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 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 .

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:***12/19/2008 12:55:30 PM*