(This article was originally published at Statistical Modeling, Causal Inference, and Social Science, and syndicated at StatsBlogs.)
A correspondent writes:
I came across this discussion of p-values, and I’d be very interested in your thoughts on it, especially on the evaluation in that thread of “two major arguments against the usefulness of the p-value:”
1. With large samples, significance tests pounce on tiny, unimportant departures from the null hypothesis.
2. Almost no null hypotheses are true in the real world, so performing a significance test on them is absurd and bizarre.
P.S. If you happen to share this, I’d prefer not to be identified. Thanks.
This seems like a pretty innocuous question so it’s not clear why he wants to keep his identity secret, but whatever.
I followed the link above and it was titled, “What is a good, convincing example in which p-values are useful?”
I happen to have written on the topic! See page 70 of this article, the section entitled Good, Mediocre, and Bad P-values.
I also blogged on this article last year; see here and here.
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