She took a random sample of 25 students, and you calculate the sample proportion. And then you figure out what is the probability of getting a sample proportion this high or greater. And if it's lower than a threshold, then you will reject your null hypothesis. And that probability, we call the p-value. The p-value is equal to the probability that your sample proportion, and she's doing this for students at her school, is going to be greater than or equal to 20% if you assumed that your null hypothesis was true. So if you assumed that the true proportion at your school was 6% vegetarians, but you took a sample of 25 students where you got 20%, what is the probability of getting 20% or greater for a sample of 25? Now, there's many ways to approach it, but it looks like she is using a simulation.