 couple decimals, and then I'm going to double click on the fill handle to drag it down. Boom! So it copies it on down, so there we have it, and that looks good. Okay, so let's take the difference between that and my actual data. So the difference, just to get an idea, home tab, font troop, black, white, wrap, center. So my actual data that I came up with over here said 6.2 percent minus what I come up with a Poisson distribution, 6.52. So let's add some percentify, add some decimals. So you can see it's pretty close. My Poisson distribution, if I copy that down for each of these items is coming pretty close to the percent likelihood that we came up with our actual data. So in other words, if I look at this, we're going to say for each one minute time interval, the likelihood that zero people show up is 6.52 according to the Poisson distribution, which is within 0.32 percent of what our actual data set. The likelihood that one person is going to show up just one, not cumulative, not zero or one, in which case we can sum the two up, right, to 24 percent that zero or one shows up. But no, just one person shows up, likelihood 17.8 percent. Just two people show up in the one minute time period, 24.3 percent. It's the likelihood that one, two, zero, one, or two people show up. Well then we can say, well, if I can sum those up and it's not going to mess up with calculus to have a curve, then it's going to be 48.63 percent that we have one, zero, one, or two people show up. That's the idea of the curve. If I plot this then, I can plot this curve and say, let's just select this area here and I'm going to say insert and let's make it a chart. Let's go to a bar item and plot that. So I'm going to bring that, I should have brought it up. So there it is. And then I'll go into my data. So let's say my data, this data is good, but for here I want to make sure to pick up my own numbers from zero to 29. And so there we have it. So I could plot this data and compare it then to the data set that I have, the actual data set that we calculated, right? So I could add another one and say add another data set and this one, hold on a second. I don't want to edit. I want to add a data set. And this one is going to be for this and the data is going to be here, hold, control, shift down, shift up so I don't pick up the total, enter. And let's see if it does what I was hoping. It did not. What happened to that second data set? K, PASO, what happened? Let's do it again. Let's say add data set. I want it to be equal to this. And then the series needs to be from, hold on a second, it needs to be from here down, shift up. Okay, the percentages closing that up. And this should be, I'm going to say the percent of the total, right? Isn't that right? Let's try it again. So there we have it. So you can see they're pretty closely lined up. I've also added the legend so you can see the two different colors with the plus button and then the legend, I should probably adjust the labels but we'll keep that for now. Now we might also represent this with a line if we have two items on the same chart because it's a little less messy. So I could select the same data, put in my cursor on AC1, control, shift down and then insert the charts, hitting the drop down, we want a line. So now we've got the line with markers. So let's pick that up and if I go into the chart design data and the data. So here's our first data set, let's add another one and I'm going to go to the right to do that and I'm going to pick up this percent of total. I'm going to delete this bit and I'm going to hit this little thing to make sure it's going to sum this up, putting my cursor on L2, control, shift down, shift up so I don't pick up the total and there it is. Okay and then I'm going to edit my horizontals to be equal to, I'm going to hit this to make sure it picks it up from here. Control, shift down to 29 and there we have it and okay and okay. So you can see it's quite close when we plot them in this format so I could add the legend again so I could say add a legend and then we could make one of these transparent or something like that if we wanted to make it more clear but those are the couple charts that we can put together and say okay that's a pretty close relationship. Alright so remember what we can do with this data, I'm going to pull this to the right now, is we can start asking questions about the data in terms of how many people might arrive right. So let's just, first let's calculate the mean and the variance so I could calculate the mean of this data and one way to calculate the mean is to basically, we could take this, all of this times this and that will be another way we can calculate the mean. So in other words when we calculated the mean over here what we did is we just took the average of all of the results.