** Text: **

**Grade**: Your
grade will be determined as follows:
a midterm exam (20% of your grade),
a short project (20% of your grade), weekly quizzes (20% of your grade),
and a final exam (the remaining 40% of your grade).

**Class Log:** The homework assignments and exam dates can be
found in the
class log. Each Friday's class will usually
include a quiz
based VERY closely on the assigned homework martial.

**Honor
Principle**:
On the exams and quizzes, no help is to be given or received.
While working on the short project you may use any references you'd like
under the condition that you always carefully reference your sources.
Also,
collaboration is encouraged during the process of thinking about and
collecting data for your project, but every non-referenced aspect of your
final write up must be entirely in your own words.

**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.

** Recitation session **: Every Thursday from 7:00-9:00 our TA
Francois G. Dorais
will be running a recitation session. (Recall every Friday there is a
quiz.)

**X-Session**: We will missing two class days (Monday April 25th and
Monday May 24th). We will be making this up with 3 X-Sessions, on
Thursday
April 1, Thursday
April 8, and Thursday
April 15.

**Syllabus**: In this course we will cover the three basic tools of the
statistical trade:
descriptive statistics, probability, and inference. First we will cover
various topics in descriptive statistics, including a look at correlation
and the regression line. Next we will familiarize ourselves with various
probability ideas, including the understanding of discrete distributions
and the central limit theorem. Lastly, we will put our first two topics
together
and discuss inferential statistics, including a discussion of
confidence intervals and a variety of hypothesis tests.
We will essentially be covering ** all ** of the text, hence our text's
table
of contents can be used as a more detailed syllabus (More precisely we
will definitely cover chapters 1-6,8-10,13-21,23,26-29. Some of the more
interesting material is in the left over chapters, which we will cover if
time permits.). I feel this text is fabulous, but it gives very little
discussion of how to organize
and manipulate large data sets. We will be learning this topic
independently of the text, and, in particular, we will learn to use Stata.