“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
Divorce Rates for Different Groups
We know when people usually get married. We know who never marries. Finally, it’s time to look at the other side: divorce and remarriage.
How We Spend Our Money, a Breakdown
We know spending changes when you have more money. Here’s by how much.
Where Bars Outnumber Grocery Stores
A closer look at the age old question of where there are more bars than grocery stores, and vice versa.