Course Home Page
Math 343 (and 344) is an interesting (and sometimes challenging) mixture of statistics, mathematics, and computation.
While it is not always easy to separate these three strands, they provide a useful framework for stating the learning
objectives for this course. In this course students will
- Randall Pruim
office: North Hall 284
phone: (616) 526-7113
- Time & Location
||Monday, Tuesday, Thursday, Friday 1:30-2:20, in North Hall 261
- Office Hours
TBA or by appointment. Generally, it is easiest to drop me an email and
see what times work for both of us -- or just swing by my office and see if I
In addition, we will encounter the application of statistics in a wide range of interesting application areas.
- develop statistical skills, including the ability to
- reason and communicate about and with data
- use data to estimate unknown quantities
- use data to test hypotheses and make decisions
- collect and organize data in ways that make it possible to draw broader inferences
- develop mathematical skills, including the ability to
- apply calculus and linear algebra in probabilistic and statistical contexts
- use random events and random variables to model a wide variety of phenomena
- use mathematical notation and language precisely, clearly, and correctly
- use mathematical techniques and results to derive properties of random distributions
- develop computational skills, including the ability to
- use a statistical programming language (R) to explore and summarize data and perform computations
- use simulations to explore distributions and their properties
- use and write functions to automate repeated tasks
- develop additional skills, including the ability to
- use techniques of reproducible research to present results
- 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.
Thursday, 20-Nov-2014 16:33:00 EST.)
- 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 Appications of Statistics
It is available from the Calvin Campus Store.
You can get an errata list for this book
- 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).
Recently, the RStudio company has provided an excellent integrated development
environment for R. This is the current best and easiest way to use R. Furthermore,
we have set up an RStudio server on campus that allows you to run R in a web browser
without any need to install the software yourself. Your session is restored each
time you return, and you can work on multiple computers without losing your work
when you move from one to another.
If you prefer to install R and RStudio on your own machine, the software is free
and easy to install on Macs, PCs, and linux boxes. You can get R at
http://cran.r-project.org and RStudio at
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:
Thursday, 07-Sep-2017 16:19:59 EDT
Department of Mathematics and Statistics