And then she calculates the test statistic for these results was z is approximately equal to 1.83. We do this in other videos, but just as a reminder of how she gets this, she's really trying to say, well, how many standard deviations above the assumed proportion, remember, when we're doing the significance test, we're assuming that the null hypothesis is true, and then we figure out, well, what's the probability of getting something at least this extreme or more? And then if it's below a threshold, then we would reject the null hypothesis, which would suggest the alternative. But that's what this z statistic is, is, well, how many standard deviations above the assumed proportion is that? So the z statistic, and we did this in previous videos, you would find the difference between this, what we got for our sample, our sample proportion, and the assumed true proportion, so 0.33 minus 0.26, all of that over the standard deviation of the sampling distribution of the sample proportions. And we've seen that in previous videos. That is just going to be the assumed proportion, so it would be just this.