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. Here, her sample size is only 20. So, so far, this isn't looking good. Now that's not the only way to meet the normal condition.