Type I and II errors simplified

May 9, 2014

“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]


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.

Where People Run in Major Cities

There are many exercise apps that allow you to keep …