“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]
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In celebration of their 100-year anniversary, the American Film Institute selected the 100 most memorable quotes from American cinema, and …
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A closer look at the age old question of where there are more bars than grocery stores, and vice versa.