It’s long and the testimony is part of an exhibit to a brief. CTRL-F asa statement takes you right there.

]]>Wow! Do you have a link for that?

]]>Q. And the American Statistical Association, I think this is 2016, issued a guidance on statistical significance and p-values, correct?

A. This article is on p-values is what you’re referring to?

Q. And statistical significance, correct? Do you see the heading, sir, “ASA Statement on Statistical Significance and P-Values”?

A. That’s not what mine — you’re looking — I’m sorry. You’re looking at the next page, yes. Yes.

Q. So they issued a statement on statistical significance and p-values, and they say, “What is a p-value?” And they answer that question to make sure that’s understood. And formally a “P-value is the probability under a specific” — “specified statistical model that a statistical summary of the data would be equal to or more extreme than its observed value.” I cut off the parenthetical, but other than that, did I read it correctly?

A. Yes.

Q. So essentially the probability that the effect estimate that is seen in the study would be seen by chance alone, right?

A. Yes.

Q. So a p-value of .05 means that there’s a 5 percent chance that this finding could have been seen by chance alone, right?

A. Yes.

Q. A p-value of .06 means there’s a 6 percent probability that the finding could have been seen by chance alone.

A. Yes.

Q. And so in studies — and you talked about a 95 percent confidence interval. Often people look at 95 percent — or a 5 percent chance of a random finding, right?

A. Science is very rigorous. It has very defined elements to it that when you publish, you’re expected to meet those standards.

Well … it’s hard to understand know how you could put the ASA statement in front of an advocate and the expert he’s cross examining and manage to wind up with them having this sort of exchange about it … unless you statisticians are also guilty of having cast some sort of mass illusion spell; one which you’re having a very difficult time dispelling. Science is very rigorous, indeed.

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The original is from Mark Monmonier and George Schnell, “The Study of Population”, Elements, Patterns, Processes. Charles E. Merrill. Columbus, OH. 1982, and it’s in Michael Friendly’s website of milestones in data visualisation.

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