Okay. This problem, uh, talks about younger people that said they had used cannabis or marijuana. Um, so it's I'm seeing my data's over here and spread she And when you stop lit to create my graph, and then we'll write up a few sentences. Teoh, describe the distribution, um, specifics here. So the European survey used alcohol and other drugs, Actually, not just marijuana. Um, that was a 60 year olds. So, like a photograph, you gotta have a next title. You Toronto by hand. That would be like the title were wannabe access styles. Um, family member Trump's gonna paste this in here. You know what's nice about stop? Let is. There's a lot of different types of graphs you're gonna look at so again always to fall back to the dot plot because it kind of showed the most information a little bit mortar. It's a little bit more to create if you're doing it by hand. But if you're trying to analyze statistics, uh, it's very useful. And with applications, it's not so bad. So I'm showing you the other graphs there. There's a history ram, and you could also see what a box plot or stem that looks like so again for the purposes of describing things you just keep You look quickly visual of the different graphs. Um, this is good for spread and where the middle is. But I think I have to go back to my dot plot Your of the most information. So frank is an apple. It Mosley get the most information so we can draw it up nicely here. So it let's a little snapshot of our statistics me a little bit bigger. And then it's a good statistician are few sentences about this. So our summary stats shows a lot of, ah, the information we need to have. Um, let's look at this. And we're gonna say I used socks of the acronym. So I always think if you receive this written down in my class, stock stands for shape, that layers center and spread. Okay, so the shape of this graph, it's pretty uniformly distributed. Okay, so since it goes all the way along, there's the shape is uniformly distributed. There's no clear middle to another kind of spread out me o stands for out layers. There's no any clear out layers here, so, um, I'm not gonna say anything about it. My writing. But just so you know what this stands for. So the shape of the graph takes about some entrance being symmetric or skew. Look, this is all kind of spread out. So I think for uniformly distributed, it really describes that the center of the graph on the center is at about, uh, here. Let's look down our summary statistics since we have them with the medians about 18 which is about where it hit. Um, so we'll say the media is 18. So most countries, the median 18 16 year olds, reported they had used marijuana. And you always want to make a comment after center. Some comment about spread on the status pretty spread out. So a lot of temple you the inter quartile range? Um, let's just say the data. I'm going to use the overall range since this is the spread out. So it's like for all the countries it's gonna use the overall range that ranges from way down here from three all the way up to looks like 34 depending which country we're talking about, right? So that gives you good information. You can saw a little preview of different graphs. The DOT plot gives you more specific, so I use that one and you want to comment on the shape in the center and spread. And there's any unusual or out liars you seeing. You want to write about that when you're commenting on statistics crafts.