Course Home Page
[R Studio ]
[The R Project]
- Randall Pruim
office: North Hall 284
phone: (616) 526-7113
- Time & Location
||Monday and Friday @ 2:30; Tuesday and Thursday at 1:30
- Office Hours
Given the challenge we had finding a time for this course to meet,
I doubt I can find a time for office hours that will work for everyone.
Most likely it will work best to simply schedule office hours as needed.
Catch me after class, send email, or just stop by to see
when I am available.
- I will maintain an email list of all students registered in this class
and will occasionally use it to distribute information and reminders of
various things pertaining to this course.
If you prefer to read your email from an account other than your calvin
student account and do not have it set up to forward automatically,
send me email with the email address you prefer.
Please check your email daily.
You are responsible for any information communicated via email.
- Web Pages
In addition to this home page,
I will also maintain a list of web resources pertaining to this course.
You are responsible for any information appearing on the course
Items I have prepared and maintain online include
- a customizable calendar
of daily readings, lecture topics, exams, homework etc.
Friday, 19-Apr-2013 10:40:23 EDT.)
- a list of homework assignments and due dates.
- information about tests and exams
(appearing shortly before each test date).
For quick access to these and other resources, see the navigation
bar at the top of this page.
If you are having difficulty with any portion of the course,
do not hesitate to see me.
Do this as soon as possible, certainly well in advance of any
deadlines (like tests) so that we can work to fix the problem.
The required text for this course is
Foundations and Applications of Statistics
- Grading will be based on the
following approximate weighting:
Tests should be taken when they are scheduled.
I do not generally offer make-up, alternate or late tests.
Instead, if you miss one test (for any reason) or if your final exam
score is better than your worst test, then your final exam score will be
substituted for that test.
- When we need a statistics package in this course
to ease our calculations or visualizations, we will
use a program called
R is a very powerful statistical tool and programming language and is
being actively developed by statisticians from all over the world who
contribute to the main program, its interface, or the many add-on modules
(called packages) that are available to handle specialized tasks.
R is free and available for Mac, PC, or Linux.
It has also been installed on the computers in the
Mathematics and Statistics Computer Lab (basement of North Hall) and on
some other machines around campus (CS lab and Engineering lab, I think).
We may also make ocassional use of Mathematica.
Occasionally there are special circumstances that require that the rules
and guidelines above be adjusted for a particular student.
In such cases, it is the responsibility of the student to inform me
of the situation as soon as possible, so that the appropriate
arrangements can be made. This includes, but is not limited to,
students with documented disabilities.
This page maintained by:
Sunday, 27-Jan-2013 21:41:48 EST
Department of Mathematics and Statistics