Instructor:	Dr. Brian Habing, Associate Professor office: 203 LeConte e-mail: habing@stat.sc.edu MSN messenger: brian@habing.com AOL or Yahoo messenger: DrStatpsy FAX: (803)777-4048 office phone: (803)777-3578 home phone: (803)739-2686 (9am to 10pm only) Office Hours: whenever the door is open, by appointment, and Tuesday, Wednesday, & Thursday 9:00-11:00 Website: http://www.stat.sc.edu/~habing/courses/702F06.html
Bulletin Description:	STAT 702 —Introduction to Statistical Theory I. (3) (Prereq: MATH 241) Fundamental theory of statistics and how it applies to industrial problems. Topics include probability, random variables and vectors and their distributions, sampling theory, point and interval estimators, and application to the theory of reliability, regression, process control and quality issues. Not to be used for M.S. or Ph.D. credit in statistics.
Note:	The deadline for dropping the course without failing is Thursday, October 5th
Purpose of Course:	To expose the student to the basic concepts of theoretical statistics necessary for the solid understanding of the statistical procedures and methods typically used by practicing industrial personnel at an advanced level.
Expectations:	All students are expected to: Attend/view class regularly, asking questions when clarification is needed and participating in any in-class activities. (Possibly incomplete) copies of the power-point slides will be posted on the course page by noon the day of each class, and it may be helpful to print them out for use during class. Read the pages covered in each class before the following class period. The pages will be listed on the course page. Attempt all of the assigned homework problems and turn them in before the start of the class in which they are due Use the resource of their fellow students and their instructor to seek answers to questions that arise in class, in the readings, and on the homework
Required Text:	Mathematical Statistics and Data Analysis (3rd Edition), by John A. Rice, Duxbury Press, 2007. The University Bookstore can be linked to at http://sc.bkstore.com/ .
Computers:	This course will periodically use the software package R. Copies of R can be downloaded free following the instructions at http://www.stat.sc.edu/help.html#r. NO PREVIOUS KNOWLEDGE OF R IS ASSUMED.
Exams and Topics Covered:	There will be two take-home exams and a take-home final. The topics covered in the exams will generally follow the chapters of the text listed below. However, the exams may also cover material which was solely presented in class, and that is not contained in the text. You are to receive help from no-one except me on the exams. The exams may be turned in to me personally, left in my mailbox in 216 LeConte, faxed to (803)777-4048, or sent by e-mail in a pre-approved format. The first exam will be posted on-line by noon Tuesday, September 26th and due by noon Tuesday, October 3rd. It will focus on subjects related to chapters 1-2.1 (and parts of 4) of the text, including: basic probability, Baye's rule, and discrete distributions. The second exam will be posted on-line by noon Thursday, November 2nd and due by noon on Thursday, November 9th. It will focus on the material related to chapters 2.2-4 of the text, including: Continuous distributions such as the gamma, normal, and Weibull; applications to quality control; normal approximations; transformations of variables and joint distributions. The final exam will be posted on-line by noon Tuesday, December 5th and due by 7:30pm Tuesday, December 12th. It will focus on material from Chapters 5-8 of the text including: Sampling distributions for means and variances, likelihood, method of moment estimation, and interval estimation. Incidence of cheating and academic dishonesty will be punished to the full extent allowed by university regulations.
Homework:	Homework is due at the beginning of the class period it was assigned for. Late homework is not accepted. The homework may be turned in to me personally, left in my mailbox in 216 LeConte, faxed to (803)777-4048, or sent by e-mail in a pre-approved format. Homework will be assigned at least one week in advance in class, and will also be posted on the class website. The writing on the homework must be legible, the work used to obtain the answers must be shown and correct, and the final answers must be clearly indicated in order to receive full credit. You MAY consult with other students on the homework assignments (e.g. you can ask each other for advice and may work on the big picture together, but you should write up the details yourself).
Grades:	The grade is determined by the scores on the homework and examinations as follows: Homework 25% Exam 1 25% Exam 2 25% Final Exam 25% The grading scale may be adjusted as needed, but will not be made more difficult than: Letter Minimum Grade Percent A 90 B+ 85 B 80 C+ 75 C 70 D+ 65 D 60 There is no "extra credit". Any deviations from the above grading scheme will be to the benefit of the students.
Complaints and Comments:	While there are end of semester evaluation forms, they come far too late to resolve any difficulties experienced in the class. All complaints should be raised by either speaking with me directly, or by anonymously leaving a message in my mailbox in 216 LeConte.