Her sample size is 120. And then she calculates her sample proportion, which is 40 out of 120. And this is going to be equal to 1 3rd, which is approximately equal to 0.33. 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?