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. So that would be p-naught, when we put that little zero there, that means the assumed population proportion from the null hypothesis, and that's 0.26. And this result that we got from our sample is 1.83 standard deviations above the mean of the sampling distribution, so 1.83. So that would be 1.83 standard deviations.