And I would then divide by the standard error of the mean, which is another way of saying the standard deviation of the sampling distribution of the sample mean. But this is not so easy to figure out. In order to figure out this, this is going to be the standard deviation of the underlying population divided by the square root of N. We know what N is going to be if we conducted the sample, but we don't know what the standard deviation is. So instead, what we do is we estimate this. And so we'll take the sample mean. We subtract from that the assumed population mean from the null hypothesis. And we divide by an estimate of this, which is going to be our sample standard deviation divided by the square root of N. But because this is an estimate, we actually get a better result.