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ED 495 Statistics for Teachers
Ewing, Larry


COURSE SYMBOL AND NUMBER: ED495       

COURSE TITLE: Statistics for Teachers

COURSE DESCRIPTOR: NA

TERM COURSE BEING TAUGHT:  Fall II, 2004

NAME OF FACULTY MEMBER: Larry D. Ewing 

TITLE OF FACULTY MEMBER: Associate Professor

FACULTY OFFICE LOCATION: Copley 316

FACULTY OFFICE HOURS:  M – R (9:00 – 11:00); W (4:00 – 4:30) Grain Valley

FACULTY OFFICE TELEPHONE NUMBER: 816-584-6258

FACULTY PARK EMAIL ADDRESS:  larry.ewing@park.edu

OTHER FACULTY EMAIL ADDRESS:  none

FACULTY WEB PAGE ADDRESS: http://captain.park.edu/ewing

DATES OF THE TERM:  October 25 – December 19, 2004

CLASS SESSIONS DAYS:  Wednesdays

CLASS SESSION TIME: 4:30 – 9:00

PREREQUISITE(S): None

CREDIT HOURS: 3

 

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.

 

COURSE DESCRIPTION: This course is designed to teach teachers basic concepts of statistics: sampling and measurement; descriptive statistics; probability distributions and statistical inference, including tests of significance. It assumes no prior coursework in statistics but fluency in arithmetic, the use of a hand held calculator, and 2 years of high school algebra are mandatory. May be taken for graduate credit if admitted to graduate program and with permission of Director of Graduate Education. 3:0:3

 

FACULTY’S EDUCATIONAL PHILOSOPHY:  The instructor’s role is to provide students with the opportunity to take an active role in reading, researching, presenting, discussing and applying information related to the course objectives and learner outcomes.  The instructor recognizes the importance of student contributions to the learning environment and encourages the cooperative exploration of ideas, issues, and contradictions.

 

COURSE OBJECTIVES: After completing this course, the student will:

[the numbers in brackets relate to the relevant National Board for Professional Teaching Standard core proposition.

1. Demonstrate the ability to collect, analyze, and interpret data, especially numerical information. [3, 4]

2. Demonstrate an understanding of populations, samples, and sampling techniques. [3, 4]

3. Organize and present data visually through graphs, histograms, frequency distributions, and stem-leaf displays. []

4. Apply appropriate measures of central tendency and variation to analyze and interpret data. [3, 4]

5. Apply the basic principles of probability as related to the statistical applications. [4]

6. Apply the basic principles of descriptive and inferential statistics in the decision making process. [4]

7. Apply appropriate hypothesis testing procedures and accurately interpret the results. [4]

8. Identify, apply, and evaluate varying practical uses for statistical procedures within the educational environment. [3, 4]

 

COURSE TEXTBOOK(S): Thorndike, Robert & Dinnel, Dale. (2001). Basic statistics for the behavioral sciences. Upper Saddle River, NJ: Prentice Hall. ISBN: 0-13-861055-X

 

ACADEMIC HONESTY: “Academic Honesty is required of all members of a learning community.  Hence, Park will not tolerate cheating or plagiarism on tests, examinations, papers or other course assignments.  Students who engage in such dishonesty may be given failing grades or expelled from Park.”

 

PLAGIARISM: “Plagiarism—the appropriation or imitation of the language or ideas of another person and presenting them as one’s original work—sometimes occurs through carelessness or ignorance.  Students who are uncertain about proper documentation of sources should consult their instructors.”

 

ATTENDANCE POLICY: In the accelerated format, regular attendance is particularly important. Perfect attendance would be the ideal. Absences should only occur because of unpredictable and/or uncontrollable events. In such cases, please notify the instructor by phone or e-mail. It is then the student’s responsibility to take steps to seek out the missed material, through the instructor or other colleagues.  Assignments are due upon return unless other arrangements are made with the instructor (as in the case of a serious illness, for example).  It is recommended that class members take phone numbers and e-mail addresses of colleagues so information may be exchanged in case of absence.

Instructors are required to keep attendance records and report absences.  The instructor may excuse absences for cogent reasons, but missed work must be made up within the term of enrollment.  Work missed through unexcused absences must also be made up within the term of enrollment, but unexcused absences may carry further penalties.  In the event of two consecutive weeks of unexcused absences in a term of enrollment, the student will be administratively withdrawn, resulting in a grade of “F”.  An Incomplete will not be issued to a student who has unexcused or excessive absences recorded for a course.  Students receiving Military Tuition Assistance (TA) or Veterans Administration (VA) educational benefits must not exceed three unexcused absences in the term of enrollment. Excessive absences will be reported to the appropriate agency and may result in a monetary penalty to the student.  Reports of F grade (attendance or academic) resulting from excessive absence for students receiving financial assistance from agencies not mentioned above will be reported to the appropriate agency.

 

LATE SUBMISSION OF COURSE MATERIALS: This course is designed to emphasize the application of knowledge and dispositions through structured performances requiring the student to read, analyze, and respond to a variety of educational situations.  The articulation of ideas through verbal and written discourse is paramount in maximizing learning outcomes.  Hence, all assigned work is expected to be completed in a timely fashion.  A grade reduction of 20% will be assigned for late work.  The instructor may make modifications to these requirements for unique and/or extenuating circumstances.

 

COURSE ASSESSMENT: Students will be assessed through the following methods:

1) Class participation: Class participation includes both contribution to classroom discussion and by being prepared for the week’s activities, which includes readings and completed study questions.

(8 @ 20 points per week = 160 points total).

2) Weekly reflections:  Students will keep a weekly journal to reflect on the information discussed each class session.  Reflections will be written in at the end of each class period and turned in.  The instructor will respond to the reflection and return the following week.  (8 @ 10 points each = 80 points total

3) Statistical Applications (Simulated/Actual) - Students will use the statistical procedures and principles addressed each week to evaluate data and to make informed educational decisions related to curriculum development and revision, and/or the improvement of instructional practice.
(8 @ 20 points each =160 points total)

4) Final Exam:  Students will complete an open book/open note final examination during the last scheduled class period.  Two (2) hours will be allocated for the exam.  (100 points)

 

CLASSROOM RULES OF CONDUCT: Students whose behavior is detrimental to good order in the classroom or interferes with the learning of other students will be subject to disciplinary action ranging from dismissal from the classroom to expulsion from Park University.  Such behavior includes, but is not limited to, the use of abusive or obscene language, attending the class under influence of drugs or alcohol, excessive tardiness, and excessive absences.

 

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 American with Disabilities Act of 1990, regarding students 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: www.park.edu/disability

 

COURSE TOPICS/DATES/ASSIGNMENTS:

Week

Date

Topics/Assignments

One

October 27, 2004

Get Acquainted, Technology Quantitative & Qualitative Research, Levels of Measurement, Sampling Techniques; Reflection Due, Textbook - Chapter 1

Two

November 3, 2004

Visual Representation of Data, Measures of Central Tendency and Variability;

Reflection Due, Textbook - Chapters 2-4

Three

November 10, 2004

Probability, Sampling Distributions, Characteristics of Populations, Samples, and Sampling Distributions, Expected Value, Standard Error, and z-scores; Reflection Due

Textbook – Chapters 5 & 6

Four

November 17, 2004

Predictor & Criterion Variables, Standard Error of the Estimate, Linear Regression; Reflection Due, Textbook – Chapters 7 & 8

Five

November 24, 2004

Sampling Process, Research Variables and Design, Hypothesis Testing; Reflection Due, Textbook – Chapters 9 & 10

Six

December 1, 2004

Sampling Distributions, Expected Value, Standard Error, Confidence Interval, t-distribution, Education Decision Making; Reflection Due, Textbook – Chapters 11 & 12

Seven

December 8, 2004

Hypothesis Testing, Levels of Significance, Statistical Tests Used with Interval/ Ration Data; Reflection Due, Textbook – Chapters 13 & 14

Eight

December 15, 2004

Hypothesis Testing Cont., Statistical Tests for Nominal or Ordinal Data; Reflection Due, Final Exam Textbook–Chapters 15&16

 

Grading Plan The grading scale is:

(500 points possible): 

A = 450 - 500
B = 400 - 449
C = 350 - 399
D = 300 - 349
F = Less than 300