Now let's work through this together. So let's just remind ourselves what a type one error even is. This is a situation where we reject the null hypothesis even though it is true. Reject null hypothesis even though, even though our null hypothesis is true. And in general, if you're committing either a type one or a type two error, you're doing the wrong thing. You're doing something that somehow contradicts reality even though you didn't intend to. And so in this case, that would be rejecting the hypothesis that the unemployment rate is 9% in this town even though it actually is 9% in this town.