So the probability that 95 out of the 100 are accurate is approximately 0.3%. So this was just kind of a, I guess you could say a thought experiment. If we had a test that we know for sure that every time you administer it the probability that it's accurate is 99%, then these are the probabilities that if you administer it 100 times that you get 100 out of 100 accurate, the probability that you get 99 out of 100 accurate, and so on and so forth. So let's just keep that in mind and then think a little bit about hypothesis testing and how we can use this framework. So let's put all that in the back of our minds. And let's say that you have devised a new test. You have a new test and you don't know how accurate it is.