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William M. Briggs

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Posted inStatistics

Why Do Statisticians Answer Silly Questions That No One Ever Asks?

Julian Champkin, editor of Significance magazine somehow came across the percipient insights of yours truly and asked me to write l'article controversé. Which I did. And with gusto. Champkin, a…
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Posted inPhilosophy Statistics

Teaching Journal: Day 11—Rewrite, Red Wine, Hat Clips

We started by learning that probability is hard and not always quantifiable. For instance, I imagine many of you would have judged it more likely than not that the Supreme…
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Posted inPhilosophy Statistics

Teaching Journal: Day 9—Hypothesis Testing: Part II

A review. We have sales data from two campaigns, A and B, data in which we choose (as a premise) to quantify our uncertainty with normal distributions. We assume the…
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Posted inStatistics

Teaching Journal: Day 8—Hypothesis Testing: Part I

Hypothesis testing nicely encapsulates all that is wrong with frequentist statistics. It is a procedure which hides the most controversial assumption/premise. It operates under a "null" belief which nobody believes.…
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Posted inPhilosophy Statistics

Teaching Journal: Day 7

The joke is old and hoary and so well known that I risk the reader's ire for repeating it. But it contains a damning truth. Most academic statistical studies are…
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Posted inPhilosophy Statistics

Teaching Journal: Day 6

(I'm assuming you have been reading previous posts. If not, do so.) We still want this:      (1) Pr (Distance > 1 meter | normal with m and s specified)…
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Posted inPhilosophy Statistics

Teaching Journal: Day 5

Let's make sure we grasped yesterday's lesson. Emails and comments suggest we have not. These concepts are hardest for those who have only had classical training. We want to know…
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Posted inPhilosophy Statistics

Teaching Journal: Day 4

Today is the quietest day, a time when all is still, a moment when nary a voice is raised and, quite suddenly, appointments are remembered, people have to be seen,…
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