 puts a total. So, so, so, so, so now I've got the total column maybe on this one, I want to take the average. So notice I hit the drop down and say take the average, which is taking the average of these columns, which comes out to 50% pretty close, right? Or if I wanted to see it with decimals, it's not exactly 50, but it's pretty close. And so this is going to be 50. And the difference, if I sum up the difference, we've got a difference of 33%. It's kind of interesting. But in any case, let's go back up top. I'm going to make IQ skinny. And then we could make a histogram of the results we got, right? So these are all the results we got, we could say let's make that into a histogram. Let's insert a I'm going to select this data, insert, and then charts and graphs, a histogram we've seen in the past. So now you've got a histogram that looks, you know, kind of kind of like what we would expect, right? The center point is around the 50% and the from the results we have, we see the spread that's starting to build up like kind of like what, you know, what you might expect when you when you basically run the tests. Now, if I was to do that, like I could do this whole thing again, and then come up with a different histogram and see, see, you know, what the difference would be if I ran, you know, the test of multiple times, right? So I could, for example, go back to my, my data, and see if I could double click on it so I could double click. So it will reshuffle. So now I've reshuffled my data. And let's just build it one more time, right? So if I take this whole thing, and I copy, let's do it from AS, I'm hopefully I'm hopefully the whole table shuffled when I double click on it. And then I'm going to go from AS all the way to to to EO, right click, copy. And just imagine that we build this out again. So I'm going to go all the way to the right and just do it again. So we'll go all the way over here. And I'm all the way over in B, J, right click, paste it 123. So now we have just the numbers. And then I could format them. I'm going to select the whole header, I'll do this faster because we've seen it before, selecting the headers, I'm going to make the header black, and white, I'm going to center it and wrap the text while I'm here. And then I'm going to select all of the data. And we'll make that all of the data blue and bordered. So font group border, and mud the blue. And then I'm going to say this is going to be heads. And by the way, I could just copy my results over here. So the it's going to be the same formulas as my dark blue. So why don't I just copy this whole dark blue thing? And it'll calculate the same thing on the bottom of my second one. So I'll just copy this whole thing. Say copy that and bring it on over to the results. And I'm in BJ 77 and paste it. So everything looks like it's going properly. So now we've got another set of results. So now let's do the same thing copying the heads. I can go to the heads here. And say we'll just select all of them. I'm going to transpose them going up top. I'll start in NB, right click pasting just the values. And then right click and copying pasting in in a right click special so that I can transpose making a column from them, deleting all of the stuff which are no longer necessary. So we'll delete that. We can insert our table. I could say insert table and boom. And then I can make the whole thing home tab number per sense. And then I'm going to delete this tab right click and delete. Make this smaller. And then let's insert a histogram. Insert histogram. So here's my second histogram running a whole nother set of 100 tests at 75. And you can see it's close but it's not exactly the same as the histogram we had over here. So if I copy this histogram and I put it down here again, let's just I just want to test that it looks the same copy this histogram and put it to the right here. So you've got two histograms that are quite similar. But you could see they're not exactly the same when we run our two tests. So this one they have different buckets that they've built on the buckets as well. But you have a similar kind of shape to them but not exactly the same. Alright, and then next we just want to say well what if we had an unfair coin like the coin was was not fair. Well, how can we kind of represent that? Well, we could say let's just let's just test that out. And say we're going to have the tests. The test over here. I've got a caps locks on test. And let's say that we do the same thing one, two and bring it up to 75 or 74 74 tests. Right there. I'll center that. And then on on the actual tests. Test one will do the same random equals random between. And then I'm going to say between one and three this time. So we'll imagine this time that one is a heads. And if it's not a one, which means it's going to be a two or a three, it's tails right so one's head. So now it's an uneven coin, it's going to land more on tails right so that's one way that we can kind of simulate using our using our random function on uneven coin right you can imagine different ways that we might try to get the coin weighted unevenly so it's a three so if it's a two or a three it's tails right and then I can copy this across test we'll do this a little bit faster because we've seen it before test two. I'm going to copy these two. I'll bring that out to what do we have 100 tests to 100 over here. 100 tests. And I'll make this into a table so I don't need to format the headers maybe. And then I'll go all the way back on over and I'm just going to copy this down copy this down