So for example, if for a given x, let's say for this x, all of a sudden you had a much lower variance, maybe it looked like this, then you would no longer meet your conditions for inference. Last but not least, and this is one we've seen many times, this is the random condition. And this is that the data comes from a well-designed random sample or some type of randomized experiment. And this condition we have seen in every type of condition for inference that we have looked at so far. So I'll leave you there. It's good to know it will show up on some exams, but many times when it comes to problem solving, in an introductory statistics class, they will tell you, hey, just assume the conditions for inference have been met, or what are the conditions for inference? But they're not going to actually make you prove, for example, the normal or the equal variance condition.