 thousand periods of one minute intervals. So let's go to the data. And then we're going to go to the analysis and data here. And so now I want to have the random number generator. And I'm going to say, okay, random numbers in accordance with I'm going to put one for the number of variables, that's going to be the columns. So I just want one column number of random numbers, we're going to put 1000 of them. So that means it's going to output 1000 numbers mirroring 1000 minute intervals that we were sitting there with our stopwatch. And then we're going to say that we want it in accordance with a Poisson distribution and Lambda is going to be the mean, which I'm going to put at 2.75. So we need that condition. We wouldn't have that if we're sitting there with our stopwatch, although we might have an idea of what it is given past given, you know, the past performance as we're sitting there at our line, putting people on the roller coaster and whatnot. And so I'm going to put this on E3. And so there we have it. And that's it. So let's go ahead and say, okay. So now we're imagining that we're sitting there and we have our stopwatch. And for the for the first minute, four people arrived next time, three people arrived, and then two people arrived. Notice that the mean over here is not a whole number, right? Obviously, you know, it's because it's an average. So if we're sitting there with our stopwatch, it's not like 2.75 people can actually arrive within a one minute time period, right? Because we're not it's not like we're going to half count someone if they like are missing a leg or something. There's still a whole person, even if they don't have like a limb. Anyways, you know what I'm talking about? So we're going to say, so every one minute, so in this one minute, six period people arrived in this one minute, three people arrived, and so on and so forth. So this was in accordance with a Poisson distribution of a mean of 2.75. But there's still that element of randomness to these generated numbers. Okay, so so now what I'm going to do is say, let's put these into like our buckets. So I'm going to say this is our data, we're going to say these are the number of arrivals. And this is going to be the frequency. And then we'll have the percent of total over here. I'm going to make this into headers. So I'm going to select these items, home tab, fonts group black, white, we're going to center it, and then I'm going to wrap it. All right. And so then we're going to say, okay, the number of arrivals, I'm going to notice when we think about these arrivals at a ride, it could go up forever in one minute time period, you could have infinite number of people show up in theory. But that's not in practice, what's actually going to happen, because it's going to taper off at the tail end as we go. So I'm just going to go up to a reasonable number, let's just go up to like 29. Let's say, so I'm going to start at zero, you could have zero people show up in a one minute of time period, one, and so on and so forth. I'm going to put my cursor here and drag it down to get to 29. Let's go to 29. Why 29? I just picked it randomly. Then we're going to use our frequency, which is our buckets. Remember that you could use you might say, Hey, look, I'm going to use the count if function, which would look like this equals count. If brackets, the range is this shift, I'm holding control shift down, and then control backspace to get back up comma criteria is that and then enter. However, sometimes when you use that formula, like sometimes it gives us a number that it's not picking up because like it's not a whole number or something like that. So the frequency spill function is a safer thing to use typically. So I'm going to say, no, let's not do that. Let's use the frequency, which is going to be equals frequency. And this is going to be an array function. And I'm going to pick up my data array. I'm going to put my cursor in E three, kind of hold down control shift down arrow takes me down to the bottom. I want to get back up to the top without unhighlighting this holding control backspace, getting me back to the top comma and then the bends. The bends are going to be starting on G three holding control shift down takes me down to that 29 to get back up holding down control backspace back up to the top and enter. So now it spilled it down. I don't want it to go down to 33 here. So I'm just going to cut off the last bit. So it's going to I'm just going to say bring that to 31 and see if that. So now I've got it nice and even. So that looks good. Now I can double check if my numbers make sense because the total here should add up to 1000 because I spit out 1000 numbers, right? So I'm going to equals the sum. I'm going to use my keystroke fast keystroke alt equals sums up summing up the right area enter 1000. So it looks like it's picking up the right numbers. And then I can look at the percent of the total. If I look at the percent of the total, I can say this equals this divided by