You might see other ones, but we're gonna set a significance level for this particular case. Let's just say it's going to be 0.05. And what we're going to now do is we're going to take a sample of people visiting this new yellow background website, and we're gonna calculate statistics, the sample mean, the sample standard deviation, and we're gonna say, hey, if we assume that the null hypothesis is true, what is the probability of getting a sample with the statistics that we get? And if that probability is lower than our significance level, if that probability is less than 5 100th, if it's less than 5%, then we reject the null hypothesis and say that we have evidence for the alternative. However, if the probability of getting the statistics for that sample are at the significance level or higher, then we say, hey, we can't reject the null hypothesis, and we aren't able to have evidence for the alternative. So what we would then do, I will call this step three. 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.