Class Instructor

Name	:	Dr. Arne Bathke
Address	:	875 Patterson Office Tower (POT)
Telephone	:	257-3610
Email	:	arne@ms.uky.edu
Office Hours	:	2:00-4:00 PM on Tuesdays.

Lab Instructor (Sections 401-402)

Name	:	Joshua Blagg
Address	:	859 Patterson Office Tower
Telephone	:	257-4423
Email	:	jblagg@ms.uky.edu
Office Hours	:	12:00 - 1:00 PM on Mondays and Wednesdays.

Lab Instructor (Sections 403-404)

Name	:	Tiantian Sun
Address	:	818 Patterson Office Tower
Telephone	:	257-6915
Email	:	tsun@ms.uky.edu
Office Hours	:	3:00-4:00 PM on Thursdays.

Course Information

Class time Lecture	:	MW 6:00 - 7:15 PM
Class time Computer Lab		Section 401: W 7:30-9:20 PM, Section 402: M 7:30-9:20 PM, Section 403: T 6:00-7:50 PM, Section 404: R 6:00-7:50 PM
Classroom Lecture	:	CB (Classroom Building) 122, except on the following dates when the lecture will be in CB 304:
		Wednesday, September 20; Wednesday, October 18; Wednesday, November 15
Classroom Computer Lab	:	CB (Classroom Building) 307
Textbook	:	A. Agresti, B. Finlay, Statistical Methods for the Social Sciences, Third Edition, Prentice Hall.
		Please note that you can either purchase just the book (ISBN 0135265266), or, alternatively, pay about $20 more to get the book and a student version of SPSS 14 ( ISBN 0131570161). It is entirely up to you to decide whether to buy the bundle or just the book, and it depends on whether you think that you will use SPSS at home, and in the years to come. I personally think that the bundle is a good deal (statistical software packages are often expensive), but if you have easy computer access in your department or somewhere else on campus that includes statistical software packages like SAS or SPSS, then you certainly won't need it. Here is a list of computer labs on campus
Website	:	http://www.ms.uky.edu/~arne/sta570/
		This website will be updated regularly. Please keep checking it for announcements, homework information, and handouts.

Course Policies Description: This is an intensive four credit hour course. It covers many topics: the introduction to methods of analyzing data from experiments and surveys, the role of statistics in research, statistical concepts and models, probability and distribution functions, estimation, hypothesis testing, regression and correlation, analysis of single and multiple classification models, analysis of categorical data. Lab activities consist of applications and problems that are designed to clarify the contents of the lectures. In the lab sessions, also some quiz problems are worked out. Prerequisites: MA 109 or equivalent. Undergraduates must have consent of instructor. Attendance: Consistent attendance is strongly recommended. Each student is responsible for obtaining all material missed when absent. Grading: Your grade will be a weighted average of four parts: One midterm exam (20%), a final exam (30%), homework assignments (30%), and in-class-quizzes (20%). The score range for each letter grade is subject to changes contingent on student performance. It is anticipated as 90 % - 100 % for A, 80 % - 89 % for B, 70 % - 79 % for C, 60 % - 69 % for D, and 0 % - 59 % for E. Exams: The exams are scheduled for October 16 and December 11 (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. Homework: The homework solutions must be your own work. Late homework will not be accepted (i.e., given full credit) without a university excused absence. Quizzes: For quizzes, no make-ups will be allowed. Instead, the lowest quiz score will be dropped. Syllabus: The syllabus will be followed closely, but it is subject to changes. Students are responsible for obtaining paper copies of all course materials that are posted on the web. In other words, the instructors will not bring in printed handouts unless they are not posted on the web. Software: In the lab room CB 307, the statistical software packages SAS, SPSS, and R are installed. We will mainly use SAS and SPSS. You may use other software for the homework problems, but we will not be able to provide technical support. Cell Phones: Cell phones need to be turned off during class time and exams.

Syllabus