Again, remembering, 1-PropZTest is ultimately what allows us to find the Z test statistic, as well as the P-value. So, I'm going to let you guys do that now. Continuing on with this Facebook example, I want you guys to go to 1-PropZTest and identify: what P0 value am I supposed to use, what x value am I going to use, what n value am I going to use, and what inequality am I going to use? I'll give you guys a few moments. Try plugging this in and tell me ultimately what Z test statistic you're going to get. But more importantly, what P-value are you going to get? We already identified all the values. Already, P0 is the status quo: five number successes from the sample and sample size, or ultimately information that comes from your sample. Highlighted them both in Orange, and I did that because I wanted to emphasize that when it comes to 1-PropZTest, you're going to use values from your sample. Notice, x is the number of successes from the sample: 186, n is the sample size: 312, and then, more than emphasized to greater than. So, typing this into 1-PropZTest: 5, 186, 312, and using a greater than symbol, we can see here we get my Z test statistic: 3.39, my P-value of 3.4 E-4 or 0.0034. And really quick, that P-value, guys, in essence, what number is this equal to when you see this P-value of E-4, 0.0034? In essence, what number is this equal to? Yeah, it's pretty much zero. Remember, if your answer ever has an "E" and then a negative number, it pretty much means your number is zero. And we can see why here. Ultimately, again, the point of this Z test statistic is emphasizing that if I have P0 of 0.5 in the middle, it's telling me I have to go one, two, 3.39 standard errors above the center, and that is ultimately where my Phat is going to live. And that, ultimately, is the idea of the P-value: it's that area, it's literally that little itty-bitty area beyond that Phat value. It's so small, it's practically zero. Again, I really, really, really want to make a point to emphasize that these steps we just did here is literally Section 8.1. And so when you're doing step three of the hypothesis process, it's literally just what we did in 8.1. So, so don't feel like you need to reinvent the wheel for steps one and three. It's literally what we saw.