In step three, we would take a sample, take sample, so let's say we take a sample size, let's say we take 100 folks who visit the new website, the yellow background website, and we measure sample statistics. We measure the sample mean here. Let's say that for that sample, the mean is 25, 25 minutes. We are also likely to, if we don't know what the actual population standard deviation is, which we typically don't know, we would also calculate the sample standard deviation. Then the next step is we calculate a p-value, and the p-value, which stands for probability value, is the probability of getting a statistic at least this far away from the mean if we were to assume that the null hypothesis is true. So one way to think about it, it is a conditional probability. It is the probability that our sample mean, our sample mean, when we take a sample of size n equals 100, is greater than or equal to 25, 25 minutes given, given our null hypothesis is true.