"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]
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The data goes back to 1960 and up to the most current estimates for 2009. Each line represents a country.
We know spending changes when you have more money. Here’s by how much.
Moving on from the most trendy names in US history, let’s look at the most unisex ones. Some names have …
There are rules—usually for specific chart types meant to be read in a specific way—that you shouldn’t break. When they are, everyone loses. This is that small handful.