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YOUNGSTOWN STATE UNIVERSITY
Department of Mathematics and Statistics
STAT 5817 / 6940, Applied Statistics / Advanced Data Analysis


Syllabus | WebCT | Homework&Projects 

SPSS Examples | SPSS Help | About Statistical Study
 Data Directory | student.htm | student.sav | FormulaSheet

Project Idea On Consumer Finance

Lecture Videos

 

Instructor:          

Dr. G. Andy Chang

Office:                

1036 Cushwa Hall

Phone Number:   

(330) 941-1818

E-mail:                 

gchang@ysu.edu or WebCT (preferred)

Office hours:       

10 AM – 11 AM, MTWF or by appointment

Text: 

Applied Statistics, from Bivariate Through Multivariate Techniques, by Rebecca Warner, Pub: Sage, 2008

References:

·        Statistical Methods and Data Analysis, 5th Edition / Ott and Longnecker, Pub: Prentice Hall, 2001

·        Applied linear statistical models : regression, analysis of variance, and experimental designs / Neter, Kutner, Nachtsheim, and Wasserman, Pub:  Irwin 1996

·        The Statistical Sleuth: A Course in Methods of Data Analysis, by F. Ramsey & D. Schafer. Publisher: Duxbury Press, 2002.

·        Applied linear regression models / John Neter ... [et al.], Pub: Irwin, 1996

·        Design and analysis of experiments / Hinkelmann and Kempthorne,   Pub: Wiley, 1994

·        Applied regression analysis / N. R. Draper, H. Smith, Pub: Wiley, 1998

·        The Analysis of Variance / Scheffe, Pub: Wiley, 1959

·        Theory and Application of the Linear Model / Graybill, Pub: Wadsworth, 1976 

 

WebCT:   Set up CUE Mail and WebCT | WebCT Login

·         Add the course “STAT_5817_Chang” (After logged in WebCT, click Add course and find this course from the list and click green Ë to add it, and click Register to complete the course adding.)

·         Lecture notes and some of the projects and assignments are in course WebCT page.

·         Use WebCT e-mail to send e-mails to instructor. 

·         Students are responsible to read the materials, assignments and deadlines, exam schedule and other announcements. If your have questions, contact instructor right away.


Course Assignments:   Chapters 1 – 14, 15-19 (optional), 20, 21

 

                            

Grading Policy:
 

  Regular & Final Exams

  50%

  Projects & Homework

  50%

  Total 

100%

 

Final Grade:
 

  90% to 100%

-------------------->

A

  80% to below 90%

-------------------->

at least a B

  70% to below 80%

-------------------->

at least a C

  60% to below 70%

-------------------->

at least a D

  below 60%

-------------------->

at most a D

 

Make-up policy:

  • Make-up tests will only be given to student who misses a test due to an extreme emergency and has notified the instructor within 24 hours after the exam, or a sufficient time period before the exam. The student will be expected to provide verification, such as signed statement and phone number, to verify the reason for his or her absence from the exam.
  • No make-up quizzes will be given.

 

Homework and projects:

  • Homework will be assigned. "Study group" is strongly encouraged. However, each student must hand in their own write-up. If you are having trouble, please see me right away. I recommend that you work on the homework corresponding to the latest lecture as soon as it is assigned.
  • Assignment must be submitted on time. Any assignment will be penalized 10% for each day late.
  • Some homework projects will require the use of computer software SPSS.
  • You may need to prepare a 3 1/2" disk formatted or Flash memory disk for IBM or compatibles to keep your data file.
  • There will be oral presentations for your data analysis projects and readings assignments.

 

Attendance:

  • It is expected that you will make every possible effort to attend all classes. In boarder line situations, class attendance may affect a student's grade.
  • Although I feel that it is essential for you to attend class, no direct punishment will be assessed to your final grade if you choose not to attend class. Students who missed class are responsible for finding out any pertinent information concerning the course from the instructor.
  • If you have any special problem or learning difficulties, please see me immediately.
  • Some materials in the course may not be from the textbook. You are responsible for all the materials covered in the course, take notes and download lecture notes if available.

 

Term Project:

  • The term project will be graded by the following criteria:
    • Appropriateness and accuracy of analysis 60%.
    • Effectiveness of communication: Organization 20%, Professionalism & Style 10%. (Use the paper writing format of a professional journal in your field.)
    • Thoroughness: 10%.
  • Turn in your SPSS data file for your term project, also turn in a copy of your report file, if it is a MSWORD file. (Either e-mail me or turn in a disk.)  The written report due day will be announced.
  • Additional information: Statistical Study & Preparing Report.


Recommendations:

  • Successful students have found that the subject demands frequent intensive study with lots of problem solving.
  • Participating in group discussions is always helpful to yourself and others in learning.
  • If you have any special problem or learning difficulties, please see me immediately.

 

About SPSS (available in most of the campus computer labs)

SPSS can be purchased online through http://www.spss.com/vertical_markets/education/online.htm or from some of the campus bookstores. Please get the Graduate Pack. SPSS Graduate Pack is the full version of SPSS® Base with two additional modules that covers logistic regression and survival analysis.

o       It can be leased at online e-store: http://estore.e-academy.com/ for 6 months ($79.99).

o       It can also be purchased from JourneyEd.com or other stores with a 4 years license for $199.98.

 

Tentative test schedule:  To be arranged
 

Students with Disabilities:  In accordance with University procedure, if you have a documented disability and require accommodations to obtain equal access in this course, please contact the Office of Equal Opportunity and Disability Services at the beginning of the semester or when given an assignment for which an accommodation is required. Students with disabilities must verify their eligibility through the Office of Disability Service (941-3370) intake procedure.