And then assuming the null hypothesis is true, we're going to then figure out the probability of getting our actual difference of our sample proportions. So we're going to figure out the probability of actually getting our actual difference between our male sample proportion and our female sample proportion, given the assumption that our null hypothesis is correct. And if this probability is less than 5%, if this probability is less than our significance level, so if the odds of getting these two samples and the difference between those two samples is less than 5%, then we are going to reject the null hypothesis. So how are we going to do this? So if we assume the null hypothesis, what does the sampling distribution of this statistic start to look like? Well, the mean, if we assume that P1 and the true population proportions are actually the same between men and women, if P1 and P2 are actually the same, then this right here is going to be 0. This right here is going to be 0.