So this one wouldn't be an error. She concludes the town's unemployment rate is 9% when it actually is. Well, once again, this would not be an error. 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.