“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
One Dataset, Visualized 25 Ways
“Let the data speak” they say. But what happens when the data rambles on and on?
Who is Older and Younger than You
Here’s a chart to show you how long you have until you start to feel your age.
Life expectancy changes
The data goes back to 1960 and up to the most current estimates for 2009. Each line represents a country.