** 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.