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Feb 12, 2014 at 12:17 comment added user37312 Is this equivalent to assuming "not the null" as the new null hypothesis and then rejecting this new null hypothesis?
Feb 11, 2011 at 4:46 comment added Jeromy Anglim this question on equivalence testing also has some good suggestions stats.stackexchange.com/questions/3038/…
Jan 15, 2011 at 6:57 vote accept Pulkit Sinha
Jan 14, 2011 at 23:49 comment added dmk38 couple more things: (1) Treating failure to reject the null as evidence in support of null is a shockingly common error & usual occasion for Streiner's point. This mistake essentially turns the strong aversion to type 1 error in "p < 0.05" norm into license to make type 2. S says, "wait--you need power..." (2) Whuber cites Hume's famous argument. H's pt is actually just as subversive of empirical proofs rejecting the null as of proofs of the null. H says induction can't support causal inference. Ok; but there's no alternative for empirical study! Go Pearl (& Bayes), not Hume, on causality!
Jan 14, 2011 at 9:18 comment added chl (+1) Nice answer. I added a link to an online version of Streiner's article; I hope you don't mind (feel free to remove).
Jan 14, 2011 at 9:17 history edited chl CC BY-SA 2.5
add link to ungated PDF
Jan 14, 2011 at 4:50 history edited dmk38 CC BY-SA 2.5
missing word
Jan 14, 2011 at 0:47 comment added whuber +1. This is a nice example of the importance of being clear about one's standard of "proof." In many applications the one you invoke here--the "act as if" standard, if I may call it that--is so weak that nobody would accept it as "proof." I do not deny its utility, though, and advocate this kind of approach to support rational decision making. (But maybe Bayesian methods are better... :-)
Jan 13, 2011 at 23:51 history answered dmk38 CC BY-SA 2.5