“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]
Type I and II errors simplified
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A Day in the Life: Women and Men
Using the past couple of years of data from the American Time Use Survey, I simulated a working day for men and women to see how schedules differ. Watch it play out in this animation.
How the Average Working Adult Spends Days
This is what you get when you add up all the days the average American adult spends sleeping, eating, commuting, and doing other activities.