The grade you earn in this course
is a function of your ability to work hard and to persevere. Practice,
practice, and practice; there is no other way known to mankind that bestows
thorough understanding of the mechanics underlying the seemingly oblique
formulae, or, for that matter, how they shed light on the phenomena of
interest to us, researchers. Four elements combine to fashion your
grade – a set of homework assignments and three exams. Specifically,
Note: No points are awarded
for class attendance since I assume you will not abscond without giving
me prior notice of both the cause and date(s) of your absence(s). Failure
to follow this convention will result in a penalty against your grade.
the ‘N’ homework assignments
contribute 25 percent of your grade. Unless noted otherwise, each assignment
will mature at the time of our next meeting. Unheralded late assignments
will not be accepted for grade.
each exam contributes 25 percent
toward your course grade (for a total of 75 percent). The exams are not
The problems featured on the
exams will be identical (only in terms of the underlying logic)
to those assigned for homework. It will, therefore, prove to your advantage
if you complete the homework problem sets and in doing so, understand the
concepts at hand. Should you run into any difficulties while tackling homework
assignments please see the TA or set up an appointment with me. DO NOT
opt to copy a colleague’s homework; doing so will only guarantee a poor
grasp of statistics. I also urge you to tackle the problems at the end
of each chapter.
Unless I grant a personal exception,
all assignments come due on the specified date. I neither accept late submissions
nor offer make-up homework assignments and exams. Exceptions to this
policy are rare indeed. To qualify for the exception you must inform
me in advance of planned absences and submit appropriate documentation
upon returning to the fold.
I am best reached by email :
firstname.lastname@example.org. If you do not possess an e-mail account, please obtain one
The course web page will serve as the
clearinghouse for all course-related information -- for example, solutions
to homework problems and answer keys to exams and homes. I broadcast an
email message to all students enrolled in the course whenever new information
is posted on the web page or if the page is updated for some other reason(s).
Therefore, please acquire the habit of checking your email and the web
page for this course every Wednesday evening and Thursday afternoon. This
web page (see also the Course Calendar) has links to various online statistics
texts and statistics-related applets. These tools have the potential to
significantly enhance your learning process and I urge you to make full
use of them.
A Few Things to Bear in Mind