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. So let's see which of these choices match up to that. She concludes the town's unemployment rate is not 9% when it actually is. Yeah, in this situation, in order to conclude that the unemployment rate is not 9%, she would have to reject the null hypothesis even though the null hypothesis is actually true, even though the unemployment rate actually is 9%.