STAT-685-S01 Statistical Inference I (3 credits)

South Dakota State University
(Fall 2009)


Course Meeting Time and Location: TTH, 2:30PM-3:45PM, SNP, Room 0024.

Contact Information:
 
         
Instructor: Dr. Weiming Ke
          Office location: Harding Hall, Room 214
          Office Hours: Tuesday and Thursday 10:00AM-12:00 AM or by Appointment
          Office phone number: (605) 688-5850
          Email address: weiming.ke@sdstate.edu

Course Description:
 
A theoretical study of the foundations of statistics, including probability, random variables, expectations, moment generating functions, sample theory, and limiting distributions.

 

Prerequisite: Stat-281, Stat-381, Math-381 or permission of the instructor.

 

Course Content:
 

·       Probability Theory and Random Variables

·       Transformations and Expectations

·       Common Families of Distributions

·       Multiple Random Variables

·       Properties of a Random Sample

                                      
Course Requirements:

1.
Required textbook: Required textbook: Statistical Inference, Second Edition, by Cassela and Burger, Duxbury 2002. ISBN: 0-534-24312-6. The course will focus on Chapter 1-5.

2. Technology support: For assistance with technology problems or access to D2L, contact the Help Desk at 605-688-6776.

3. Class attendance policy: Class attendance is highly encouraged but not mandatory.

4. Academic honesty policy: The instructor abides by the policies endorsed by the SDSU administration. See SDSU Conduct Code 01:10:25 at http://studentaffairs.sdstate.edu/JudicialAffairs/StudentCode/Chapter10.pdf

5. Make-up policy: Each assignment and test should be submitted before due dates. If there is an emergency please contact the instructor to make the necessary arrangements for adjusting the due dates.
 

Course Goals:
 
The prime objective of the course is to present techniques and basic results of probability and mathematical statistics at a rigorous and advanced calculus level. Upon completion of this course, students are expected to develop the probabilistic tools and language of mathematical statistics including probabilistic models, properties of random variables, common probability distributions, and sampling distributions.

Evaluation Procedures:
 
Assessments: All the homework, one midterm exam, and one final exam will be evaluated and contributed to the final grade.

Grading Policy:

Grading Scale: 90-100 → A, 80-89 → B, 70-79 → C,  60-69 → D,  0-59 → F

Disability Policy:
 
Any student needing accommodations based on the impact of a disability should contact Nancy Hartenhoff-Crooks, Coordinator of Disability Services, to develop an accommodation plan. She can be reached by phone at 605-688-4504 or by e-mail at Nancy.Crooks@sdstate.edu, or at the office in Wintrode Student Success Center 125. Please discuss your needs with the instructor as well.

Tentative Exam Dates:
 
Mid Term: October 30, 2009
Final Exam: December 18, 2009