So in this example, it was normal. All of the z's are normally distributed. Over here in a t distribution, and this will actually be a normalized t distribution right here, because we subtracted out the mean. So in a normalized t distribution, you're going to have a mean of 0. And what you're going to do is you want to figure out the probability of getting a t value at least this extreme. So this is your t value you would get, and then you essentially figure out the area under the curve right over there. And so a very easy rule of thumb is calculate this quantity either way.