So let's say I have a discrete probability distribution function, and I want to be very careful not to make it look anything close to a normal distribution, because I want to show you the power of the central limit theorem. So let's say I have a distribution, let's say I can take on values 1 through 6. 1, 2, 3, 4, 5, 6, it's some kind of crazy dice that's very likely to get a 1. Let's say it's impossible, let me make that a straight line. You're very high likelihood of getting a 1. Let's say it's impossible to get a 2. Let's say it's an okay likelihood of getting a 3 or a 4.