Chance News 112: Difference between revisions
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<div align=right> in: [http://www.jdsupra.com/legalnews/woefully-thin-statistics-doom-adverse-41363/ “Woefully thin statistics” doom adverse impact claim], JDSUPRA.com, 24 August 2017</div> | <div align=right> in: [http://www.jdsupra.com/legalnews/woefully-thin-statistics-doom-adverse-41363/ “Woefully thin statistics” doom adverse impact claim], JDSUPRA.com, 24 August 2017</div> | ||
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[[File:Divorce scatter.png|600px|frameless|center]] | |||
<div align=right> in: [https://www.inverse.com/article/36156-divorce-rate-study-americans-bartenders-flight-attendants New study reveals bartenders, casino workers most likely to get divorced], ''Inverse Culture'', 5 September 2017</div> | |||
(Note: The graph originally [http://flowingdata.com/2017/07/25/divorce-and-occupation appeared in ''FlowingData'']; the caption was added by ''Inverse Culture''.) | |||
==Lecture on football probability== | ==Lecture on football probability== | ||
Revision as of 18:14, 6 September 2017
Under construction: August 21, 2017 to ...
Quotations
Forsooth
"Of the 36 applicants that were interviewed, 20 were ultimately promoted... . Among the promoted individuals, 62 percent were female and 38 percent were male."
(Note: The graph originally appeared in FlowingData; the caption was added by Inverse Culture.)
Lecture on football probability
Margaret Cibes sent a link to the following YouTube video:
It features John Urschel, an offensive for the NFL's Baltimore Ravens, who is also studying applied mathematics at MIT. The video begins with John at a chalkboard using a decision tree to analyze a one-point vs. two-point conversion late in a football game.
John is already a published mathematician, as described in this 2016 article from the Notices of the AMS.
Redefining statistical significance
Scholars take aim at false positives in research
by Thomas Gaulkin, UChicagoNews, 1 September 2017
University Chicago economist John List is one of 72 collaborators whose commentary, Redfine statistical significance, was just published in Nature Human Behavior. The subtitle reads, "We propose to change the default P-value threshold for statistical significance from 0.05 to 0.005 for claims of new discoveries."
To be continued...