Class meets: MW 4:00-5:15 pm in: MP008
Instructor: Ranjan Maitra
Phone: (410)-455-2436
Office Hours: By appointment.
Phone: (410)-455-3294
Computer accounts on math.umbc.edu may be obtained by filling
in the form posted outside Ms. Burgee's door.
More references depending on what we cover in the latter part
of the course!
Exams: 35%
A statistician's job is not complete when the last decimal point is calculated and the last graph is drawn, however. Statistical work is almost always done in collaboration with a researcher in another field -- perhaps economics, engineering, medicine, pyschology, etc. -- and communicating the data analysis effectively to others is as critical as doing the data analysis well to begin with. When you communicate well, your work influences the research in the other field and you get credit. When you do not, your work goes unnoticed and your hard work goes to waste. A substantial part of the course is therefore going to be on data analysis and report writing, especially for clients whose knowledge of statistical tools and methodology borders on the rudimentary.
The package that will be used in the course will be Splus[available
on sgi1 and suns in math, and on gl and research in umbc], though you are
welcome to use other packages such as SAS [also available on sgi1 in math
and on gl in umbc] or SPSS in your assignments. This is not a computer
course, so we will not actually go into how to write Splus code, but you
are always welcome to contact me should you have any questions. Also, I
will probably arrange for a guided tour of Splus in the Stat/Math lab after
the class strength has stabilized.
Here is a sample report.
http://www.math.umbc.edu/~maitra/stat601.html
I will try and keep this homepage as upto date as possible. However,
you are still responsible for any announcements made in class.