To see if the data that we have is sufficient, what we're going to do is assume that this is true. Given that this is true, if we assume this is true, and the probability of this occurring, and the probability of getting a sample mean of that, is less than 1%, then we will reject the null hypothesis. We are going to reject our null hypothesis if the probability of getting a sample mean of 17.17, given the null hypothesis is true, is less than 1%. Notice, if we do it this way, there will be less than a 1% chance that we are making a type 1 error. A type 1 error is that we're rejecting it even though it's true. Here, there's only a 1% chance, or less than a 1% chance, that we will reject it if it is true. The next thing we have to think about is what type of distribution we should think about.