This would be failing to reject the null hypothesis when the null hypothesis is actually true, not an error. Choice D, she concludes the town's unemployment rate is 9% when it actually is not. So this is a situation where she fails to reject the null hypothesis even though the null hypothesis is not true. So this one right over here, this one would actually be, this is an error, this is an error, but this is a type two error. So one way to think about it, first you say, okay, am I making an error? Am I rejecting something that's true or am I failing to reject something that's false? And the rejecting something that is true, that's type one, and failing to reject something that is false, that is type two.