#  Cross Validated 

 





September 27, 2011

 

 

[Cross Validated](http://stats.stackexchange.com/) is a question-and-answer site dedicated to statistics and statistical computing. It is part of the completely awesome [Stack Exchange](http://stackexchange.com/) network of Q/A sites which I rely on heavily when coding. The questions range from the fairly straightforward ([“How can a regression be significant yet all predictors be non-significant?”](http://stats.stackexchange.com/questions/15206/will-quantum-computing-allow-new-statistical-techniques)) to the fairly complicated ([“What’s the difference between principal components analysis and multidimensional scaling?”](http://stats.stackexchange.com/questions/14002/whats-the-difference-between-principal-components-analysis-and-multidimensional)) to the fairly abstract ([“How are we defining ‘reproducible research’?”](http://stats.stackexchange.com/questions/14999/how-are-we-defining-reproducible-research)).

There is a ton of interesting instruction being done there. I have heard others scoff at the idea of giving away your expertise for free on sites like these, but I think that Cross Validated and other sites are crucial and vibrant places for students to learn about statistical methods. And this is a chance to actually help people in a concrete way.

Also, check out their [community blog](http://stats.blogoverflow.com/), which promises to have great little tidbits, mostly focused on R.

Posted by [Matt Blackwell](http://www.iq.harvard.edu/blog/sss/archives/author/matt-blackwell/) at September 27, 2011 9:17 AM



 

 

 



 

 

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