statistics
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Liars, Outliers, and Out-and-out Liars
Will Briggs blows the whistle on p-values and statistical significance (what’s with 0.05 anyway?). Sorry, Will, no one will listen. Tip from John Cook at the Endeavour. Read more
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Cross-disciplinary goodness
John Cook explains the Lincoln Index, which is the software engineer’s name for the Petersen capture-recapture estimator (also called the Lincoln-Petersen model). Read more
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Every cloud has a silver lining
Here’s one from the Research 2000 debacle–a nice example of variance reduction through stratified sampling. Read more
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Income and Expenses for NCAA Schools
Check out this online database of income and expenses reported to the NCAA. Tip from Matt Yglesias by way of Phi Beta Cons. Read more
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Fisher and Pearson started this wrangle a century ago…
…and we’re still wrestling with p-values. I’ve gotta go see what C.R. Rao prefers as an alternative (in the comments). Read more
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Correlation and the Law of Cosines
I’ve been teaching this for years, but never came up with such an excellent write-up. Sweet! Read more
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Wise up, Stats Boy!
Want to become a multi-level modeling wizard? Take this course from the University of Bristol. Tip from Andrew Gelman. Read more
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Physicians quantify the damnedest things
The Bristol Stool Chart is a really disgusting example of an ordinal variable. Read more
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Big numbers vs. BIG NUMBERS
Here’s a particularly egregious example of statistical significance vs. practical significance. We always seem to overlook that, don’t we? XKCD reminded us of this back during the financial meltdown and attendant scoldings: Read more
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Visit the Visualization Zoo!
This article takes you for a tour. Tip from Nathan at Flowing Data. Update (31 May). Andrew Gelman was not impressed. Read more