So we can circle that in. So the next condition is the normal condition. Now the normal condition when we're doing a t-interval is a little bit more involved, because we do need to assume that the sampling distribution of the sample means is roughly normal. Now there's a couple of ways that we can get there. Either our sample size is greater than or equal to 30. The central limit theorem tells us that then our sampling distribution, regardless of what the distribution is in the population, that the sampling distribution actually would then be approximately normal. She didn't meet that constraint right over here.