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%. So I'm liking this choice. But let's read the other ones just to make sure. She concludes the town's unemployment rate is not 9% when it actually is not. Well, this wouldn't be an error. If the null hypothesis isn't true, it's not a problem to reject it. So this one wouldn't be an error.