“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 →
When Straight Americans Lost Their Virginity
Everyone has his or her own timeline, but here it is in general for Americans.
Where People Work and How Much They Make
Salaries for occupations with the same job title can vary across industries. This interactive shows you by how much and who works where.
Shifting Causes of Death
The most common causes of death changed over the years. They vary across sex and age group. This animation shows the details of these changes.