“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 →
Marital Status by Age
Separately, we looked at marrying age, divorce rates, and those who never married. Now let’s look at marital status all together, with the addition of the widowed status.
Shifting Incomes for Young People
Compare incomes for young people from the Millennial generation and the baby boomer generation.
It’s hard to think of much else. These maps show the racial divide between black and white people in major cities.