And this works out well for proportions because in proportions, I can figure out what this is. This is going to be equal to the square root of the assumed population proportion times one minus the assumed population proportion, all of that over N. And then I would use this Z statistic to figure out the P value. And in this case, I would look at both tails of the distribution because I care about how far I am either above or below the assumed population proportion. Now with means, there's definitely some similarities here. You will make a null hypothesis. Maybe you assume the population mean is equal to mu one. And then there's going to be an alternative hypothesis that maybe your population mean is not equal to mu one.