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. To see how likely a sample like this was to happen by random chance alone, Evie performed a simulation. She simulated 40 samples of n equals 25 students from a large population, where 6% of the students were vegetarian. She recorded the proportion of vegetarians in each sample.