Hypothesis Testing

Chapters 1,2,4,5, and 6 covered.  Chapter 3 is 'bonus'.  

Bayesian (boo) vs. Frequentists (yea!):

http://oikosjournal.wordpress.com/2011/10/11/frequentist-vs-bayesian-statistics-resources-to-help-you-choose/

Bayes' Theorem explained:

http://betterexplained.com/articles/an-intuitive-and-short-explanation-of-bayes-theorem/ 

For R programmers check the following link:

http://meandering-through-mathematics.blogspot.com/2011/05/bayesian-probability.html

Resource summing up hypothesis testing:
http://www.sjsu.edu/faculty/gerstman/StatPrimer/hyp-test.pdf

Type I and Type II error:
Type I- Falsely rejecting the null hypothesis.  To accept the significance of our result mistakenly.
Type II- The opposite.  Falsely rejecting the significance of a result.  Falsely accepting the null hypothesis.

For a video on type I error:

http://www.khanacademy.org/math/probability/statistics-inferential/hypothesis-testing/v/type-1-errors

(Aside ** A link for the Bonferroni correction explained:

http://www.aaos.org/news/aaosnow/apr12/research7.asp  )


The null hypothesis for s's and g's:
http://www.null-hypothesis.co.uk/science//item/what_is_a_null_hypothesis

What is a model anyway?:
http://www.sportsci.org/resource/stats/models.html