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Youngstown State University

Department of Mathematics and Statistics

 

STAT 3743, Probability and Statistics, Fall 2009

 

Course Materials

Blackboard login Page | Syllabus

Textbook Exercise  | Data Directory | TI Calculator 

IPSUR & R | R Commander Instructions

 SPSS Guide & Examples | student.htm | student.sav

 

Schedule for Exam 2 and 3 have been changed:

Exam 2: 10/21, Wednesday

Exam 3: 11/17, Tuesday

 

Instructor:

Dr. Guang-Hwa Andy Chang

Office:

1036 Cushwa Hall

Phone No.:

(330) 941-1818

E-mail:

gchang@ysu.edu  or g.andychang@gmail.com or Blackboard (Preferred)

Webpage:

http://www.cc.ysu.edu/~ghchang/

Office hours:

10:00 am – 11:00 am, MTWF, at Cushwa 1036 or by appointment

Classroom:

Cushwa 3071 on MWF;  Cushwa 1105 on T.

Text:

“Probability and Statistical Inference”, 7th ed., by Hogg and Tanis; Publisher: Prentice Hall, 2006

Reference:

·      “Applied Statistics and Probability for Engineers”, 4th Edition, by Montgomery and Runger; Publisher: Wiley, 2006

·       NIST/SEMATECH e-Handbook of Statistical Methods,   

      (http://www.itl.nist.gov/div898/handbook/)

 

 

 Blackboard:  

·      Blackboard Logon Page:   https://webcourses.ysu.edu/

·      Add the course “STAT_3743_Chang” (After logged in Blackboard, 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.)

·      Use Blackboard to send e-mails to instructor. Grades will be posted on Blackboard.

 

Grading Policy:

3 Regular Exams

   45 %

Pop quizzes, Regular Projects & Homework

   35 %

Term Project

   10 %

Final Exam (comprehensive)

   10 %

Total

 100 %

 

Final Grade:

     90% to 100%

Þ A

     80% to less than 90%

Þ at least a B

     70% to less than 80%

Þ at least a C

     60% to less than 70%

Þ at least a D

     Below 60% 

Þ 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.
  • Late homework or projects will not be accepted.

 

Homework and projects:

  • Homework and projects will be assigned and be graded. "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. A notebook should be maintained which contains all homework exercises, properly annotated. I recommend that you work on the homework corresponding to the latest lecture.
  • Some homework projects will require the use of computer software.

 

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 grade.
  • Although I feel that it is essential for you to attend class, no direct punishment will be assessed to your grade if you choose not to attend class. However, in class activities that count for grades will be given from time to time. If you missed classes it may affect your grade. Students who missed class are responsible for finding out any pertinent information concerning the course announced in class by the instructor.
  • 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.

 

Data Analysis Term Paper:

  • The term paper will be graded by the following criteria:
    • Appropriateness and accuracy of analysis 60%.
    • Effectiveness of communication:
      1. Writing: Organization 10%, Professionalism & Style 10% (use the paper writing format of a professional journal in your field).
      2. Presentation: 10%.  (If the presentation was not asked for the semester this percentage will be moved to the writing category.)
    • Thoroughness: 10%.
  • Turn in your data file in any of the following formats: ASCII (.txt), EXCEL, SPSS, R, and the summary report file for your term project.  Name your data file as S3743Data_FirstInitalLastname  and name the project report file as S3743Paper_FirstInitalLastname (must be a MSWORD file). If I were to turn in the report paper, my file name would be S3743Paper_GChang. The written report and data file due date, and method of submission will be announced. Your term project report may be posted on the web in the future. If you do not wish your report to be posted by instructor as a project report example for the future students, please let me know.
  • Click here for Term Project Guidelines.

 

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.
  • A scientific hand calculator that has the mean and standard deviation functions maybe needed.
  • Student edition of SPSS for Window is available at the YSU bookstore.
  • Statistical software R is a freeware.
    • Download instruction for R and IPSUR for this course from the following address:

http://ipsur.r-forge.r-project.org/installation.php  

 

Tentative schedule of tests:

 

Exam I

9/15, Tuesday

Exam II

10/21, Wednesday

Exam III

11/17, Tuesday

Final

Dec. 9, Wednesday, 8:00 AM – 10:00 AM.

 

 

Regression Exercise:  Regression Line | Correlation