 actual numbers. So to do that, it gets a little bit tricky, little bit craziness happening here. I can say, okay, if I go into this one, well, hold on before I do that, if I click on one of these items, and then let's just double click on it, and that will then open up this field on the format data series, I'm in this one to the item with the right with the bars, and we have the primary axis versus the secondary axis. What we want to do is add a secondary axis. So I'm going to add that. And then I'm going to close this back up. It will often put these numbers on the right hand side. I don't need that for this particular graph. So I'm just going to remove them clicking on these numbers and deleting them. Now that that is in place, I can then go up to my data, which is in the chart designs, and then the data, the data group, select data. And what I'd like to do so notice that this right here is is being tied to this series of numbers. What I want to do is I'm going to pick the second data set. And notice I'm going to change another I'm going to add another x I'm going to make it different. So I'm going to say select this information, I'm going to hit this, and then go on over and this I want my z score. So I'm going to put my cursor on the z score control shift down, make sure that it picks up the right number. So I'm going to say okay, and okay. Now notice sometimes it kind of messes it up here. So make sure that this is listing all the numbers doesn't just have one at the top. And then I'm going to say okay. And if I go back up top again, now I don't see any change like what happened. Well, I've got to pull in my secondary one here. So I got to hit the plus button on the right. And then my accesses, I'm going to hit the arrow on the right of the axes. And here's my secondary horizontal, which I now have the option for so I'm going to select that it normally I'm going to hit the plus button to get rid of this stuff on the side it normally happens at the top. So it puts it at the top I want to bring it to the bottom. So if you double click on this, then I'm over here on the right hand side of the format axes, I'm going to go down to the labels. And then under the labels, we got the label position, I'm going to select the position and bring it low, I want to bring the position low. And so there we have it. So now I'm going to go into this. So now I can represent this by z score, as well as by the this this number. So if I was to look at this calculation, then you'll recall that I had had the probability being this is the 80. So representing the 80, right here. And then when we calculated the Z, the Z was at 50. So you can see the Z that the middle point, of course, is where the Z is going to be zero. And so then we're up to 50 right there is going to be that line. So now I've got the two X's and I can represent this graph either way, whether I be talking about Z's, which you'll remember is is how close to kind of the center point, the spread of the items. And then and then the actual number values, the X's that we have here. Now you can also kind of play with these z scores, like you might you might want to put the distance between the z scores equal to like a standard deviation. So you can try to adjust the spread of the Z's as well as the X's. I'm not going to get into that in detail right now, let you kind of go in like you can you can play with those on your own and say, you know, what should be the intervals be between the Z's and the X's if you want to get a little bit more detailed there, but I'll leave the defaults for it for now. So what we have now is somewhat of a dynamic type of chart. So here's all of our data up top if I wanted to based on this information to change the the test scores, then of course I can do that and I can say if I bring this down to 60, then for example, now we're at the 60 the orange representing P of X is less than or equal to 60, which would be the area under the orange area. And obviously the inverse when we're talking about P of X is greater than 60 is now being represented by the blue area. And if you were to get to the area, it should be calculated up to it should be equal to 93.04, you know, percent of of the the area under the curve. We can also represent it with the Z scores. So the Z score is going to be that line right there, right, which is now according to this at the 148. So 148 looks about right that we have the the Z score right there. Let's do it. Let's bring it up to like 65. So now we brought it up there. The Z score is around 0.98, which is right around here. Right. And so again, you can kind of adjust. Let's make this as large as we can. Just to play with it. So so then we've got the Z score here, they put at the 0.98. And we can adjust this let's put this up to like, let's put it up to 90. And so now we've got most of it being orange, representing everything that is less than or equal to 90. Right. And then we've got the everything above is the 90 and above for the blue. And then the Z is at this 1.49, which should be represented, you know, right here, 149. Looks like it's basically, boom, it gets a little, a little twisted on the way down. But there that is. So that gives you kind of your pictorial representation. Now in future presentations, we'll we'll see how we can kind of make a graph that might be more specific to questions that are greater than and then there is a way that we can do it between two. But just to get one graph that can give you kind of of pictorial representation of all this stuff. This isn't a bad one to work with. So I'm going to now do some formatting of everything we've done. I'm just going to make this data. I'm going to select the whole thing and do my normal formatting, which is home tap font group. I'm going to make this blue if you don't have that blue, more colors standard. I use this blue, okay, and then drop down and make it bordered. I'm going to make all of this blue, bordered and blue, I'm going to make this blue, bordered and blue. I'll put some borders around this one but not blue. And then this I'll make all of this blue and bordered as well. Border blue. This one I'll just make bordered. And then I'll make all of this bordered blue to control shift down. And I'll say border blue on that one. And there it is. We'll work a few more of these examples. In future present, let's put some borders around this for fun. Just put some borders around our starting data. Alright.