So they did all of that for us. And they say, assuming that the necessary conditions are met, they're talking about the necessary conditions to assume that the sampling distribution of the sample proportions is roughly normal, and that's the random condition, the normal condition, the independence condition that we have talked about in the past. What is the approximate p-value? Well, this p-value, this is the p-value would be equal to the probability of in a normal distribution, we're assuming that the sampling distribution is normal because we met the necessary conditions. So in a normal distribution, what is the probability of getting a z greater than or equal to 1.83? So to help us visualize this, imagine, let's visualize what the sampling distribution would look like, we're assuming it is roughly normal. The mean of the sampling distribution right over here would be the assumed population proportion.