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PS 206 Introduction to Guidance and Counseling
Blahy, Tammy Lynn


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.
CourseMA 120 Basic Concepts of Statistics
SemesterF1G2004
FacultyBlahy, Tammy Lynn
TitleSenior Adjunct Professor
Degrees/Certificates
Office LocationGrand Forks Air Force Base Education Center, Park University
Office HoursBy Appointment
Daytime Phone701-594-2977
Other Phone204-663-1797
E-Mailtammy.blahy@park.edu
tlynnbailey@shaw.ca
Semester DatesOctober 25, 2004 to December 19, 2004
Class DaysWeekends (F, S, SU)
Class Time8:00 - 5:00
PrequisitesSuggested prerequisite is MA 131 or equivalent.
Credit Hours3

Textbook:
Sanders, D. H. (1995).  Statistics: A first course.  New York:  McGraw Hill.

Additional Resources:
Class handouts, articles from professional journals

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:
Dr. Blahy's approach to teaching is interactional and tends to include experiential and integrative techniques that promote the concept of life long learning.  The use of integrative techniques of cooperative learning, hands-on learning, and role of teacher as facilitator aligns with Dewey's theory of progressivism.  Lectures, course projects, activity circles, reflection papers, oral presentations, group assignments, as well as some quizzes and/or exams are utilized to encourage and facilitate student dialogue and learning.  Dr. Blahy believes it is essential that a student is able to think, to interpret, to connect themes, and to grasp the larger picture of interrelation and connectedness through dialogue, rather than "cramming" heads with facts to be inputted and outputted.  Further, she believes a mixture of control and freedom to think(reason) for one's self is of pivotal importance.  By integrating teaching methods for various learning styles, facilitatin of a student's discovery of certain insights on his or her own is fostered.  

Learning Outcomes:
Course Objectives:
1.  To understand and appreciate general concepts of basic statistics;
2.  To understand attempts to answer questions of causation;
3.  To understand and appreciate the meaning and role of statistics in modern life;
6.  To develop computation skills using basic concepts of statistics;  and
7.  To understand basic computer statistical analysis programs;

Learning Objectives:
On completion of this course, students should be able to:
1.  Define and use common statistical terms;
2.  Compute and explain the measures of central tendency, measures of dispersion, measures of position;
3.  Explain and demonstrate sampling and sampling procedures;
4. Demonstrate through discussion an understanding of graphs, tables, charts, and other methods of representing and displaying statistical data;
5.  To classify variables as either qualitative or quantitataive;
6.  To understand the empirical rule and chebysev's theorem;
7.  Utilize varous forms of data representations;
8.  Define, compute, and discuss methods of probability concepts and recognize the uses of addition and multiplication rules in computing probabilities;
9.  Understand and identify continuous and random variables; Be able to calculate values and probabilities using the Normal Distribution;
10.  Understand and compute combinations and permutations;
11.  To understand and compute sampling distributions and explain law of large numbers and central limit theorem;
12.  Compute and discuss parameter estimation, Be able to caculate point estimates and confidence intervals;
13.  Define and discuss terms associated with hypothesis testing, and one-sample procedures;
14.  Understand correlation and be able to calculate the correlation coefficient given two data sets
15.  Explain regression and be able to derive the regression equation for given data
16.  Design, classify, interpret, outline, organize and present basic statistical data through completion of a hypothetical research project; and
17.  Evaluate and synthesize and appreciate how statistics relates to and influences one's daily life activities.

Course Assessment:
Course assessment will be completed through examinations, quizzes and/or homework assignments, project presentations, and a written paper.

Grading:
Midterm Examination                  30%
Final Examination                        30%
Homework/quizzes                      10%
Written Research                         15%
Statistical Project Presentation  15%

90%=A  80%=B  70%=C 60%=D

Late:
The instructor will not accept assignments late.  Assignments not submitted on the due date will receive a grade of “zero”.  There are few exceptions to this policy.  Extreme situations may be discussed with the instructor to make other assignment arrangements.  It is the STUDENT''S RESPONSIBILITY to contact the instructor in advance to discuss situation and seek approval.

Conduct:
Computers make writing and revising much easier and more productive.  Students must recognize though that technology can also cause problems.  Printers run out of ink and hard drive crash.  Students must be responsible for planning ahead and meeting deadlines in spite of technology or other circumstances.  Be sure to save copies of your work to disk, hard drive, and print out paper copies for backup purposes.

Course Topic/Dates/Assignments:
Class Session       Topic                        Chapter
One                  Introduction; Thinking       1 and 2
                    Critically about data;
                    Presenting, Describing,
                    Exploring Data

Two                  Descriptive statistics             3
                    Measures of Central Tendency
                    Disperson, and Position
                    Empirical Rule, Chebyshev Theorum

Three                Exam
                   
Four                 Probability Concepts:
                    Fundamentals,
                    simple, compound, mult. and
                    addition rules                     4

Five                 Probability Distributions
                    Overview, Random Variables
                    Binomial probability distributions
                    Poisson, Normal Distribution       5

Six                  Session 5 continued

Seven                Normal Probability Distributions
                    Sampling/sampling Distrubtion
                    Concepts                           6

Eight                Estimating Parameters
                    Overview, Interval Estimation      7

Nine                 Discussion of Research Project
                    Presentations; Review of sample
                    projects

Ten                  Hypothesis Testing                 8

Eleven               Linear Regression and Correlation  12
                    ANOVA (timem permitting)           10

Twelve               Continuation of Lecture
                    Review/Individual assistance time

Thirteen             Exam

Fourteen             Library

Fifteen              Presentations

Sixteen              Presentations

Provide handouts of your project presentations and use visual aids as well, representing your understanding of basic statistics as it relates to your project.    You must have all elements of the project included as described in class along with a cover page.  Collected hypothetical data must be included in the appendix. Further details will be provided in class.  Students will have time to meet with instructor on their projects and presentations.

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 2004-2005 Undergradute Catalog
Page 101

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 2004-2005 Undergraduate Catalog
Page 101

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 "WH".
  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.

Park University 2004-2005 Undergradute Catalog Page 100


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.  Park University is committed to meeting the needs of all learners that meet the criteria for special assistance.  These guidelines are designed to supply directions to learners 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 American with Disabilities Act of 1990, regarding learners with disabilities and, to the extent 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 .

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