Class handouts, articles from professional journals
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
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.
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;
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 will be completed through examinations, quizzes and/or homework assignments, project presentations, and a written paper.
Midterm Examination 30%
Final Examination 30%
Written Research 15%
Statistical Project Presentation 15%
90%=A 80%=B 70%=C 60%=D
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.
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.
Class Session Topic Chapter
One Introduction; Thinking 1 and 2
Critically about data;
Two Descriptive statistics 3
Measures of Central Tendency
Disperson, and Position
Empirical Rule, Chebyshev Theorum
Four Probability Concepts:
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
Eight Estimating Parameters
Overview, Interval Estimation 7
Nine Discussion of Research Project
Presentations; Review of sample
Ten Hypothesis Testing 8
Eleven Linear Regression and Correlation 12
ANOVA (timem permitting) 10
Twelve Continuation of Lecture
Review/Individual assistance time
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 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 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
Instructors are required to maintain attendance records and
to report absences via the online attendance reporting system.
Park University 2004-2005 Undergradute
Catalog Page 100
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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