Text: Statistics: A Bayesian Perspective, by Donald A. Berry, available at Wheelock Books
Grade: Your grade will be determined via Homework (10% of your grade), Midterm exam (30% of your grade each), Short Project (20% of your grade), and a final exam (the remaining 40% of your grade)
The in class part of our midterm will held during class on Wednesday April 27th and our final will be on June 5 3:00 p.m. You are expect to be free at these times and must discuss any legitimate conflicts with Instructor Leibon during the first week of class.
Class Log: The homework assignments and exam dates can be found in the class log. You will have typically have one homework assignments due each week of the quarter. You will be allowed to drop your lowest homework score.
Honor Principle: On the exams, no help is to be given or received.
Students with disabilities: I encourage students with disabilities, including "invisible" disabilities like chronic diseases and learning disabilities, to discuss with me any appropriate accommodations that might be helpful.
X-Session: The X-session may be used to if we get behind in the syllabus or we are forced to cancel lectures.
Rough Syllabus : An introduction to the basic concepts of statistics. Topics include elementary probability theory, descriptive statistics, the Bayesian framework, some basic distributions, probability intervals, basic concepts of tests of hypotheses, non-parametric tests, normal theory t-tests, correlation, and simple regression. The R-environment for statistical computing and graphics will be used.