“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
Projects by Nathan Yau See All →
Sleep Schedule, From the Inconsistent Teenage Years to Retirement
From the teenage years to college to adulthood through retirement, sleep is all over the place at first but then converges towards consistency.
How Much the Everyday Changes When You Have Kids
I compared time use for those with children under 18 against those without. Here’s where the minutes go.