# MA120 Basic Concepts of Statistics

## for S1T 2008

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| MA 120 Basic Concepts of Statistics |

| S1T 2008 DLL |

| Owens, Richard E,, III |

| Title Adjunct Instructor - Mathematics |

| BA: Information Systems |

| online |

| Almost anytime - My goal is daily availablility |

| 816-539-0021 |

| |

| TBA |

| TBA |

| 3 |

**Textbook:**

**
**

**Required Text: Elementary Statistics -Text With 3 CD's and MyMathLab**

Author: **Mario F. Triola**

ISBN: 978-0-321-52291-7

Textbooks can be purchased through the MBS bookstore

Textbooks can be purchased through the Parkville Bookstore

**Additional Resources:**

The instructor will make other resources available through the duration of the class depending on the needs of the students.

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/.

Advising - Park University would like to assist you in achieving your educational goals. Please contact your Campus Center for advising or enrollment adjustment information.

Online Classroom Technical Support - For technical assistance with the Online classroom, email helpdesk@parkonline.org or call the helpdesk at 866-301-PARK (7275). To see the technical requirements for Online courses, please visit the http://parkonline.org website, and click on the "Technical Requirements" link, and click on "BROWSER Test" to see if your system is ready.

FAQ's for Online Students - You might find the answer to your questions here.

**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.

**Educational Philosophy:**

In the brief time we have together, my goal is to help you learn the tools of statistics;

- What are the the tools?

- When do you use them?
- Where do you find them?
- How do you use them?

**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

**Instructor Learning Outcomes**

- Apply and understand the Empirical Rule
- Apply the rules of combinations

**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 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:**

Progress is assessed by a combination of homework, midterm quiz, in class interaction and a final proctored exam. In keeping with the instructor's philosophy that the goal of education is exposure to tools, these tests are open book, open note and the students may use calculators.**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.**

**Grading:**

**How do you score points?**

- Homework - 30%
- In-class interaction - 25%
- Midterm exam - 20%
- Proctored final exam - 25% of grade
- Extra credit may be available depending on need

**Late Submission of Course Materials:**

Late work is penalized one letter grade per day late [a day is defined as beginning at

**Classroom Rules of Conduct:**

Treat your peers as you would like them to treat you - with courtesy and respect. As professionals, you will at all times maintain a supportive, non-threatening environment.

**Course Topic/Dates/Assignments:**

Welcome to Basic Concepts of Statistics –being an introduction into the WONDERFUL and EXCITING world of statistical analysis!

- Unit 1 begins with an overview of statistics - what it is, what it isn't, how it works and abuses, as well as how understanding how data is collected for a statistical study. In addition, we will understand the relation of descriptive and inferential statistics.

- Unit 2 examines how to convert raw data into sorted data and some of the ways the sorted data can be displayed. We finish with a consideration of a method matching and graphing two sets of data to analyze the possibility of a relationship.

- Unit 3 covers measures of central tendency, the variation of an element of a population from the center point of that population and how to determine the location of an element within a data set. We will also cover how to find the amount of variation of an element within a data set.

- Unit 4 consists of a high level overview of probability –the branch of mathematics that allows us to use a sample to predictions about the population it came from. We'll review the fundamental areas of probability by examining its rules of addition, multiplication and counting.

- Unit 5 by combining previously covered probability and statistical concepts we will create probability distributions as well as how to find statistics of the distribution and finalize with the binomial distribution.

- Unit 6 extends our discussion to continuous random variable distributions as we begin an examination of the normal distribution and on the standard normal distribution or Bell Curve. This week concludes with application of the central limit theorem applied to sample data.

- Unit 7 is the study of inferential statistics. We will cover how to use a sample mean to estimate the population mean and report its value within a specific interval and degree of confidence.

- Unit 8 we conclude our study by examining the basics of hypothesis testing using one-sample procedures for the hypothesis test of the population mean as well as a brief discussion of the purpose of regression and correlation analysis.

- Finally, during this final week of the course you will take final exam and complete the course evaluation.

**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 2007-2008 Undergraduate Catalog Page 85-86

**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 2007-2008 Undergraduate Catalog Page 85

**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.
- 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.

**ONLINE NOTE:**An attendance report of "P" (present) will be recorded for students who have logged in to the Online classroom at least once during each week of the term. Recording of attendance is not equivalent to participation. Participation grades will be assigned by each instructor according to the criteria in the Grading Policy section of the syllabus.

Park University 2007-2008 Undergraduate Catalog Page 87-88

**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:**

**Last Updated:***12/14/2007 10:05:55 PM*