 generator to it so that when I sort them, it will give me a random shuffle. And then if I just pick the first 10, for example, I will have picked kind of a random sample of the entire population. That's going to be the idea. Now I would like to do this multiple different times because I want to mirror the concept of running multiple tests, meaning taking a random sample multiple times. So I'm going to try to do it like 75 times. So what I want to do is make, I'm going to make one, two, three, four, five of these random generator tools, meaning I have all of the data in the entire population and then a random generation column next to it. And then I can sort each of these and that sorting will shuffle them each time. So I'm going to shuffle each of these each time, which gives me a whole set of the entire population randomly shuffled. And so if I want to then make 75 samples of however many, like 100, 175 times, I can reshuffle these every five times. That's one way I could do it, right? So I could then go over here and say that, that we're going to then copy and paste the same, well, let's do it this way. First, I can make it even a little bit easier. I can say that these are my samples now. So this is just going to say equals and I'm pointing then to this cell. So that nine, so this whole column is simply pointing to, and this is 20. That just goes down to 20. So I'm just pointing to this cell, this cell, this cell, this cell. This is a formula referencing the table. And I just chose 20 out of however long the table goes. So now I've got a count of 20 that were randomly selected out of the entire population and I have 20 different samples of, I mean, I'm sorry, five different samples that are 20 long. Now, what I want to have is 75 samples. So what I could do to make this whole table of 75 of them is that I can do five at a time, right? I can copy this, this table, I can paste it here. When I paste it here, I'm going to paste it just the values, not the formula, just the values. And then I'll have five randomly generated samples of 20 in the sample. And then I can do it again, right? I can reshuffle these shuffle, shuffle, shuffle, shuffle, shuffle, which reshuffles this whole set. And then I can simply copy the, these again, and that would be another five going out to 10, right? And then I can do it again. It's kind of tedious, but I can, this is a, this is a way that you can start to play with larger kind of sets of tests in Excel to see the impact on things like what the histogram is going to look like and what not. As you increase the sample size, you can play with these different random number generating techniques that can help you get a concept of what's going on. So I'd shuffle them all again, and then I copy these again, and then I paste it over here for the next, for the next five. And I do that at five at a time until I get to what I wanted, which I think was 75, 75 samples, all of which randomly selected, randomly selected 20, 20 items. So now we can, so now we can imagine our tests. So, so now we can imagine our tests and say, well, these are the results. If I, if I take the average of the sample, I'm going to get my results down here. So, so in this case, we had our, these, each of these columns, the data in the column represents the calorie count for one, for one sample. So, and then if I take all of those and I take the average of them per column, here are the averages for these 75 samples that we took of 20. And then I might want to put this in a vertical format. So I might take all of these that I did 75 times, put them vertically, which we can do in Excel fairly quickly. So now I've put them in a vertical format. And then I've compared it to what the actual data was, which was 2189. So remember the actual data over here, when we did this on the full dataset, we're imagining this is the entire population. It was at the 2189. And then we took 75 examples, 75 samples of 20 each to see how close