Links to other Demos, Statistics sites, etc.

Google and Google Scholar (of course)

The Author of the textbook 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.

UT offers statistical consulting and offers short courses and tutorials on packages such as SPSS through ITS research consulting . You're paying for it, so you might as well use it! They could potentially be a big help throughout your graduate career here. For this course, if you decide to use SPSS but are new to it, you might want to look at their SPSS tutorial .

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

The best all-around online statistics site for students I have seen is here:
http://www.statsoftinc.com/textbook/stathome.html
Give it a browse. I think you will be impressed.

Speaking of SPSS, there is an online textbook at NCSU that includes instructions for some SPSS procedures and how to interprete the SPSS output.

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've mentioned in 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.

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.

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.)

I found 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)