“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
Reviving the Statistical Atlas of the United States with New Data
Due to budget cuts, there is no plan for an updated atlas. So I recreated the original 1870 Atlas using today’s publicly available data.
Divorce and Occupation
Some jobs tend towards higher divorce rates. Some towards lower. Salary also probably plays a role.