You know that in order for it to be approved by whatever governing body, it has to be accurate 99, the probability of it being accurate has to be 99%. So needs to have probability of accurate equal to 99%. You don't know if this is true. You just know that that's what it needs to be. And so you have your test and let's say you set up a hypothesis and your hypothesis could be a lot of things and once you get deeper into statistics, there's null hypothesis and alternate hypotheses, but let's just start with just a simple hypothesis. You're hopeful your hypothesis is that the probability that your new test is accurate is this is your hypothesis because you want that to be your hypothesis because if you feel good about it, then you're like, okay, maybe I'll get approved by the appropriate governing body. So you say, hey, my hypothesis is that my new test is accurate 99, the probability of it being accurate is 99%.