So our mean is greater than 20 minutes after, after the change. Now, the next thing we do is we set up a threshold known as the significance level, and you will see how this comes into play in a second. So your significance level, significance level, is usually denoted by the Greek letter alpha, and you tend to see significant levels like 1 1 100th or 5 1 100th or 1 10th or 1%, 5% or 10%. 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.