Class Instructor

Name	:	Arne Bathke
Address	:	875 Patterson Office Tower (POT)
Telephone	:	257-3610
Email	:	arne@ms.uky.edu
Office Hours	:	2:00-3:00 on Mondays or by appointment.

Course Information

Class time	:	MWF 1:00 - 1:50 PM
Class room	:	CB 307 (Classroom Building)
Textbook	:	M. Evans and J. Rosenthal (2004). Probability and Statistics - The Science of Uncertainty. W.H. Freeman We will cover material from Chapters 4-10 in this book.
There are several other textbooks that cover the same material. Feel free to use them instead.
Alternative Textbooks (for example)	:	M. Degroot and M. Schervish (2002). Probability and Statistics. 3rd Edition. Addison Wesley. G. Casella and R. Berger (2001). Statistical Inference. 2nd Edition. Duxbury.
Website	:	http://www.ms.uky.edu/~arne/sta525/
		This website will be updated regularly. Please keep checking it for announcements, homework information, and other material.

Course Policies Description: This is a three credit hour course that provides an introduction into statistics, assuming familiarity with probabilistic terms like conditional probability, random variable, "pmf", "pdf", "mgf", expectation, variance, covariance, transformation and with some discrete and continuous distributions. Topics of STA 525 include but may not be limited to simple random sampling, statistics and their sampling distributions, sampling distributions for normal populations; concepts of loss and risk functions; Bayes and minimax inference procedures; point and interval estimation; hypothesis testing; introduction to nonparametric tests; regression and correlation. Prerequisites are STA 320 or STA 524. Course Goals: Apart from the (self-evident) knowledge of the STA 525 topics, and in addition to emphasizing analytic and problem-solving skills and the ability to draw reasonable inferences from data, the course is intended to provide an environment in which a commitment to accurate work, the capacity to think for oneself and the competency to make wise decisions are enhanced. I consider these skills essential for anyone studying statistics. Attendance: Consistent attendance is strongly recommended. Each student is responsible for obtaining all material missed when absent. Grading: Your grade will be divided into four equal parts: Three exams, each worth 25% of your final grade, and the remaining 25% will be based on about weekly homework assignments. The homework assignments, project, midterm exam and final exam must be your own work. Late homework will not be accepted (i.e., given full credit) without a university excused absence. Exams: The 3 exams are scheduled for February 16, March 30, and May 2 (Final Exam). Make-up exams will be allowed only in extreme circumstances and are subject to proper documentation. Unless it is an emergency situation, you need to notify me ahead of time either by phone or via email.

Syllabus