PS307 Statistics for Social Sci.

for S1T 2012

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Mission Statement: Park University provides access to a quality higher education experience that prepares a diverse community of learners to think critically, communicate effectively, demonstrate a global perspective and engage in lifelong learning and service to others.

Vision Statement: Park University, a pioneering institution of higher learning since 1875, will provide leadership in quality, innovative education for a diversity of learners who will excel in their professional and personal service to the global community.


PS 307 Statistics for Social Sci.


S1T 2012 DLA


Schwartz, Kenneth L.


Adjunct Professor


M.A., Psychology
B.S., Psychology

Office Location


Office Hours


Daytime Phone

(210) 565-3139

Other Phone

(210) 565-3139


Semester Dates

16 Jan - 11 Mar

Class Days


Class Time



An introductory social science class (i.e., SO141, PS101, CJ100, or SW205) and MA131 or equivalent.

Credit Hours



Healey, J. (2009). Statistics: A Tool for Social Research, 8th ed. Thomson Learning-Wadsworth.  (ISBN: 978-0-495-09655-9)
IBM Statistics 19 Standard GradPack available at (6 month rental).

Huff, D.  (1954/1993).  How to Lie with Statistics, 1993 Reissued Edition.  W. W. Norton & Co. (ISBN: 0-393-31072-8)

Textbooks can be purchased through the MBS bookstore

Additional Resources:

Additional readings as necessary

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

Course Description:
PS 307 Statistics for Social Sciences: Statistical methods are a primary tool for all of the social and behavioral sciences. This course introduces a wide variety of common statistical techniques and their conceptual bases, including: basic descriptive and inferential statistics, analyses of association and variance, effect sizes, and others in their parametric and nonparametric forms. It provides a background in the relevant theories of provability, sampling, and measurement. And the student will learn how to become a more discerning consumer of statistical information as well as gaining practical experience calculating these statistics by hand and computer. Prerequisites: MA 131 and an introductory social science class (i.e., SO141, PS101, CJ100 or SW 205)

Educational Philosophy:
My education philosophy is that learning requires focused and concentrated effort by a student.  Learning does not just happen.  I see the professor's role to facilitate, clarify, motivate, and provide accurate feedback and guidance that enables a student to accurately assess his or her level of understanding, comprehension, and mastery.  The key to this type of course is to study the concepts, practice the concepts, review the concepts, apply the concepts, and practice the concepts some more.  Learning statistics is much like learning a language.  The more you immerse yourself in the language the more quickly you will learn it.  This is not a course that you can succeed at by catching it on the backstroke or trying to catch up.

Class Assessment:
See detailed instructions and rubrics for all assignments in the SO307 course shell at

Core Assessment (200 points = 20%)
The CA is a small data analysis project and the take home portion of your final examination.

Pre-Test (30 points = 3%): timed online multiple-choice quiz of algebraic proficiency.

Regular Assignments (380 points total = 38%): unit problem sets and short answer conceptional and application questions.
Unit 1 Assignment (80 points = 8%)
Unit 2 Assignment (60 points = 6%)
Unit 3 Assignment (60 points = 6%)
Unit 4 Assignment (60 points = 6%)
Unit 5 Assignment (60 points = 6%)
Unit 6 Assignment (60 points = 6%)

Discussion and Participation (25 points x 8 = 200 points = 20%)
Participate in all discussions each week, on time and according to instructions, for a possible 25 points each week.

Unit Quizzes (20 points x 7 = 140 points total = 14%)
Complete each of the seven multiple choice quizzes on time and according to instructions for a possible 20 points each.

Proctored Final Exam (50 points = 5%)
Complete the multiple choice section of the final examination on time and according to instructions.

Total Points Possible = 1000

A >= 900
B = 800-899
C = 700-799
D = 600-699
F <= 599

See the online course shell for additional details.
All assignments must be submitted through the "Dropbox" in the online course shell for grading.

Late Submission of Course Materials:
Late work is not accepted.  Assignments must be completed and submitted by the due date.

Classroom Rules of Conduct:

1. Courtesy & Politenss: There is a tendency for people to behave online in ways they would not do in person.  It is essential that everyone treats each other and the professor with respect.
2. Everyone has the right to respect regarding their opinions and feelings.  It's important that students express themselves appropriately (e.g., assertively and not aggressively). Use "I" statements/messages rather than "you."  Use "active listening." Note the links provided in the course shell to information on appropriate communication. Everyone has the right to be listened to without interruption or judgment.
3. It can take a few days to adjust to a course site, so take some time to check out the areas and be patient with yourself and others. After exploring and reading all the information, if you still have questions please post them in the Office area so that other students can benefit from reading them. If you have a personal issue you can email the Professor. The turn around time for responding is a maximum of 48 hours.
4. You will post/discuss study questions in the discussion posting area. In-depth responses are required; "I agree", is not enough.
5. It's best to do assignments in a word processing program and then cut and paste into the discussion area. This way you can save your work in case of a software problem.
6. Have a BACKUP COMPUTER located in case of problems, and do your assignments early enough to provide time for a solution if you have a computer problem. Having a computer problem is not an excuse for not doing an assignment.

Course Topic/Dates/Assignments:

 Week Topic
 1  Speaking Statistics
 Pre-quiz, Quiz 1
 2  Descriptive Statistics
 Quiz 2, Assignment 1
 3  Probability & Inference
 Quiz 3, Assignment 2
 4  Statistical Significance
 Quiz 4, Assignment 3
 5  Statistical Association I
 Quiz 5, Assignment 4
 6 Statistical Association 2   Quiz 6, Assignment 5
 7  Multivariate Analysis
 Quiz 7, Assignment 6
 8  Summary & Review
 Final Exam, Core Assessment

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 students and faculty members are encouraged to take advantage of the University resources available for learning about academic honesty ( or Park University 2011-2012 Undergraduate Catalog Page 93

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. from Park University 2011-2012 Undergraduate Catalog Page 93

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 "F".
  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.
ONLINE NOTE: Students must participate in an academically related activity on a weekly basis in order to be marked present in an online class. Examples of academically-related activities include but are not limited to: contributing to an online discussion, completing a quiz or exam, completing an assignment, initiating contact with a faculty member to ask a courserelated question, or using any of the learning management system tools.

Park University 2011-2012 Undergraduate Catalog Page 96

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: .

Additional Information:
This is a challenging course, but you can be successful if you approach it with the proper expectations and focus.  It will require more time than many courses because it is presenting completely new information for many of you.  If you begin the course realizing it will require A LOT of focused study and actually practicing the computational exercises versus just reading and thinking you understand them you will be successful.  It's not a course you can play catch up in nor successfully complete with minimal effort.  The course principles build on each other so falling behind will make the course overwhelming as won't have the sequential understanding needed to build on for the next lesson.


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Last Updated:12/20/2011 9:27:37 AM