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"Type I" and "Type II" errors, names first given by Jerzy Neyman and Egon Pearson to describe rejecting a null hypothesis when it's true and accepting one when it's not, are too vague for stat newcomers (and in general). This is better. [via]
via flowingdata.com
To this day I must think hard to figure out Type I and II errors.
Hat tip: Jayjit Roy
Posted by John Whitehead on May 14, 2014 at 08:25 AM in Attempt at humor, Econometrics | Permalink
by John C. Whitehead, Econ Journal Watch, 14(3): 346–361, September 2017
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"This blog aims to look at more of the microeconomic ideas that can be used toward environmental ends. Bringing to bear a large quantity of external sources and articles, this blog presents a clear vision of what economic environmentalism can be."
