“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 →
Shifting Incomes for Young People
Compare incomes for young people from the Millennial generation and the baby boomer generation.
Unemployment in America, Mapped Over Time
Watch the regional changes across the country from 1990 to 2016.
How You Will Die
So far we’ve seen when you will die and how other people tend to die. Now let’s put the two together to see how and when you will die, given your sex, race, and age.