And for this particular case, for this particular sample, our margin of error, because we care about 95% confidence, so that would be two standard errors. So our margin of error here is two times our standard error, which is be 0.1 or 0.10. And so we're going one margin of error above our sample proportion, right over here, and one margin of error below our sample proportion, right over here, to define our confidence interval. And as I mentioned, this margin of error is not going to be fixed every time we take a sample. Depending on what our sample proportion is, it's going to affect our margin of error, because that is calculated essentially with the standard error. Another interpretation of this is that the method that we used to get this interval right over here, the method that we used to get this confidence interval, when we use it over and over, it will produce intervals, and the intervals won't always be the same, it's gonna be dependent on our sample proportion, but it will produce intervals which include the true proportion, which we might not know and often don't know. It'll include the true proportion 95% of the time.