So we don't know this one for sure, but sometimes you might. Another way is to feel good that our sample size is greater than or equal to 30. And this comes from the central limit theorem that then our sampling distribution is going to be roughly normal. But we see very clearly our sample size is not greater than or equal to 30, so we don't meet that constraint either. Now the third way that we could feel good that our sampling distribution of our sample mean is roughly normal is if our sample, is if our sample is symmetric, symmetric, and there are no outliers, or maybe even you could say no significant outliers. Now is this the case? Well it says right over here, the sample data are strongly skewed to the right with a mean of 125 messages and a standard deviation of 44 messages.