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MA 120 Basic Concepts of Statistics

Verma, Rajiv S.

**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.

| MA 120 Basic Concepts of Statistics |

| U1HH 2009 PA |

| Verma, Rajiv S. |

| Instructor |

| Masters of Science in Cost Analysis |

| Wright Patterson Air Force Base |

| Before and after class |

| 937 306 2484 |

| 937 306 2484 |

| |

| 25 May - 26 July 2009 |

| ------Thursday |

| 5:30 to 10:30 pm |

| 3 |

**Textbook:**

Elementary Statistics by Mario F.Triola, 11th edition, Pearson.

Elementary Statistics, 11/E

**Mario F. Triola**, *Dutchess Community College*

ISBN-10: 0321500245

ISBN-13: 9780321500243

Publisher: Addison-Wesley

Copyright: 2010

Format: Cloth Bound w/CD-ROM; 896 pp

Published: 12/28/2008

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**Additional Resources:**

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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:**

To introduce students to many of the important concepts and procedures they are likely to need in order to (1) evaluate such daily inputs as organizational reports, newspaper articles, radio and television commentaries, (2) improve their ability to make better decisions over a wide range of topics, and (3) improve their ability to measure and cope with changing conditions both at home and on the job. The emphasis will be placed on explaining statistical procedures and interpreting the resulting conclusions.

**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:**

The final course grade will be determined using the following measurements:

Test 2 20%

Class Project 15%

Homework and class participation 15%

Final Exam 30%

**the final exam is a core assessment activity and it is a departmental exam. The final exam will be provided by the department of mathematics. The final will be 2 hrs and will be open book and open notes...**

**Grading:**

The final grade will be based on the following scale:

**A** 90 - 100

**B** 80 - 89

**C** 70 - 79

**D** 60 - 69

**F** less than 60

**Late Submission of Course Materials:**

I will go over homework in class as required.

**Classroom Rules of Conduct:**

Students will need to take an active role in working out classroom projects. This includes helping other students in completing their individual tasks.

STUDENT CONDUCT

Faculty members are expected to dismiss from their classrooms students whose behavior is detrimental to good order in the classroom. Such behavior includes, but is not limited to, the use of abusive or obscene language, attending the class under influence of drugs or alcohol, etc. Students who are dismissed from class may be given failing grades, suspension, or expulsion from

**Course Topic/Dates/Assignments:**

**Class 1: **Cover Chapters 1, 2 and 3 in class. Students should read chapters ahead each week. Discuss class project. Homework problems will be assigned in class.

**Class 2: **Review Chapters 1, 2 and 3. Students should read chapters ahead each week.

Homework problems will be assigned in class.

**Class 3 : TEST 1 **

**Class 4 : **Cover Chapter 4 in class. Students should read chapter/s ahead each week.

Homework problems will be assigned in class.

**Class 5: **Cover Chapter 5 in class. Students should read chapter/s ahead each week.

Homework problems will be assigned in class.

**Class 6 : TEST 2 **

**Class 7 : **Cover Chapter 6 in class. Students should read chapter/s ahead each week.

Homework problems will be assigned in class.

**Class 8: **Cover Chapter 7 in class**. **Students should read chapter/s ahead each week.

Class project due.

**Class 9 : FINAL**

**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:**

**Last Updated:***5/15/2009 8:08:48 AM*