So this one is interesting and it is a tempting choice because when we do this one sample, you can kind of say, all right, if I did a bunch of these samples, 90% of them, if we have a 90% confidence interval or 90% confidence level should overlap with this true mean, with the population parameter. The reason why this is a little bit uncomfortable is it makes the true mean sound almost like a random variable that it could kind of jump around and it's the true mean that kind of is either gonna jump into this interval or not jump into this interval. So it causes a little bit of unease. See choice, so I'm just gonna put a question mark here. In repeated sampling, okay, I like the way that this is starting. In repeated sampling, this method produces intervals, yep, that's what it does, every time you sample, you produce an interval, that capture the population mean in about 90% of samples. Yeah, that's exactly what we're talking about.