“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 FlowingData See All →
Burger Place Geography
After looking at pizza places, coffee, and grocery stores, I had to look at burger chains across the country. The data was just sitting there.
Game of Distraction
They say a watched pot never boils. So here’s a game where you try to make the pot boiling by looking somewhere else.
How We Spent Our Time in 2020 Versus 2019
Our everyday routines changed over the past year, and with the 2020 American Time Use Survey, we can see by how much.