Links to other Demos, Statistics sites, etc.

Google and Google Scholar (of course)

R and related Links

The main R site can be found here:
http://www.r-project.org/
This is the central clearinghouse for R downloads and information.
Use the links on the left of that page to get to download sites and to navigate around the R webworld.

I have found the "contributed" link under "Documentation" to be particularly helpful ( here ). For the purposes of this class I recommend starting with "R for Beginners" by Paradis, and then using "Using R for Data Analysis and Graphics" by Maindonald and "simpleR" by Verzani for reference and help with more advanced ministrations.

A great text editor designed for programming is jEdit . I really like it. If you end your filenames with ".s" jEdit will recognize your file as an R program (S+, actually) and do syntax highlighting, which is really handy.

Links to other Demos, Statistics sites, etc.

There is a very good online textbook devoted entirely to resampling (bootstrap) methods. Read the introduction if nothing else.

The Rice Virtual Statistics Laboratory ( RVSL ) is a nice site from Rice University. In particular, check out the interactive demonstrations .

Howell, the Author of "Statistical Methods for Psychology," has a great site here:
http://www.uvm.edu/~dhowell/StatPages/StatHomePage.html
In a addition to lots of great online information, you can also download the data for all of the homework problems for PSY384M.

The best all-around basic online statistics site for students I have seen is here:
http://www.statsoftinc.com/textbook/stathome.html
It has some very fun and informative demos in addtion to the online text itself. It is very good for brushing up on the basics in case you are a bit rusty.

The most comprehensive online statistics site I've found is here:
http://www.statsoftinc.com/textbook/stathome.html
Give it a browse. It covers a lot of topics!

Richard Lowry at Vasser College has a good webtext , which is meant to be a companion site to his website for statistical computation . From what I have seen, the webtext is also a nice stand-alone resource, and the computation website contains some informative demonstrations.

There is a site called
http://www.statistics.com/
which is run by a guy who develops statistical software. Among other things, it has a searchable glossary and many links to free software. (you have to register, but it is free)

As I mention often in my inferential class, not nearly enough attention is paid to graphing data. A very nice site on data visualization is :
http://www.math.yorku.ca/SCS/Gallery/
It is well worth spending some time browsing though it.

The calculation of power is very important. In simple situations, a sketch on a napkin will tell you what you need to know, but this isn't possible when things get more complicated. One software solution is G*Power:
http://www.psycho.uni-duesseldorf.de/aap/projects/gpower/index.html
The PC user-interface is *old-school* DOS-based but, hey, it works. (I haven't checked out the Mac version.)

Here is an article in which many different software packages for calculating power are reviewed.
http://www.zoology.ubc.ca/~krebs/power.html
It's both uplifting (people in zoology are aware of the power problem, at least, and there is a lot of software there) and depressing (why do so few of the common packages offer a priori power computations off-the-shelf?).
You'll laugh, you'll cry. Joe Bob sez check it out.

On the lighter side, this is good for a few giggles:
http://www.theonion.com/onion3837/gambling-addiction_study.html
(thanks to Tatjana Feinstein)