“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 Nathan Yau See All →
Occupation Growth and Decline
We looked at shifts in job distribution over the past several decades, but it was difficult to see by how much each occupation group changed individually. This chart makes the changes more obvious.
How Different Income Groups Spend Money
After living expenses, where does the money go, and how does it change when you have more cash available?