In question. 136. You're now using the data sets provided by the textbook. So perhaps you have a CD? Probably not. Perhaps you have a link easily to find with that data. If not how I found it was You go to the supplements page in the digital textbook and on the bottom left side, you'll see this link to the Weiss website that has your data sets in it. Make sure you choose the right edition for the book that you're using, and then you're going to want to choose to download probably the text files. Um, is that's how I will be demonstrating it in this question. And, um, I had trouble downloading the text files and some web browsers. So do try different Web browsers and check under your downloads as you're trying to download those data sets from there. Okay, so just remember what we're looking for. We're going to do almost all of these steps kind of in one. You're allowed to use your choice of technology for these problems. I had difficulty figuring out how to use Excel, or he needs to find to create box plots with these data. sets. And I think that's just because the software changes over time and box plots are not tough on their priority of things to automatically provide. So we're going to use class couch, which is set up well for this type of activity. So you're gonna go to class Coke, and we're actually going to have to do a little bit of a work around because it's not perfectly set up. So we're going to begin by importing a table, even though a table isn't really what we want. We want to list. But this is the fastest way I found to use our data. So I've already got this set up. So it's going to my folder for this s nine text data, and I know that I want the data for question 1 36. So much hype that in there quickly open that data file, going to import it for me, and you can see it cuts out the middle part of the table. But it's there if you want to see it. It's just showing you that you have the 51 row table, and, um, again, I don't really want a table to use class cap to dinner. The blocks plot. I need a list. So what I'm gonna do is redefine my data as a list. Some type in a capital l one define that as the data found, an X one in the table above and you can see here when the bomb, right. It'll show me my data list there. So that's delightful. So I'm ready to go now. Now, I need my keyboard from down here, and I want to go under, stat. And I want to go under it, um, under plot, which is what I want. And I want a box plot and I want to tell it. Then I want to talk about using the data from l one. Okay. And, believe it or not, that box plot should be showing up on my screen. So you might ask yourself, Well, where is it? So you have to remember that it is charting using your data numbers, which are in the fifties, and it's using that on the x axis. Do you want to move your x axis over there, see how it's appearing in that fifties range? Okay. So you can make it bigger if you want this way, it's just running along. Why goes one? The important thing is that the X values are right there in the fifties. So there's my box plot. If you need a little. If you want the list of the portals, you can click that bottom right button there and we'll give you the exact portals. So from here we can get most of what they're asking us for. Let's go back and check our list. We want the court ALS. Okay, so that's there, Child One. Remember that the median is caught up to three in the max. Escort out four and it also wants to intercourse to arrange to remember. That's the difference between the 3rd and 1st quarter house. So that's the value of three. So 56 months 53 gives me three. It also wants what it calls the five number summary. Well, that's those five boxes you see right there the min Max and the Four Tops. And then it wants a box plot. But you have a picture for here. And the final thing is, it does want to check for any outliers. Okay, so just in case our feature didn't do that correctly, you're going to want to take the first quartile and subtract 1.5 times the inter quartile range. All right, so that means that my lower boundary to be at 48.5. So that's interesting, because it does show a minimum value at 48 which technically does lie below my boundary. So that 40 those 48 values technically are outliers. So, um, we may want to go and delete them to correct our box plots while we're before we do that. Let's go double check at the upper end. So that would be we take our third quartile. We add to it 1.5 times inter quartile range and, like there's a 60.5. Okay, so that's definitely way over here. There's no data above. Do you have these two data points that seem to fall below? Assuming that this data is in order, it's just kind of double check that again. Yes, They have ordered this data set for us, which is very nice. So I think what you want to do is actually go in here. And if we don't think you can edit in here, But I think we can edit it up in our table and let's go in and actually try to delete those first two values in order to correct our boxes. Lot, make it better. So I rushed to go with police those numbers, and we're gonna regenerate this definition that regenerates us. 49 items on the list. Still says 51 but notice it could adjust my values. Okay, so it did take those data. Points out, um, an O. Look, there's a button on here. We could have just excuse. Let's put it back. Let's put our 48 back and just choose this point down here that says exclude the outliers. Interesting. So it tells me that there's two items there, but interestingly, it did not adapt the box plot. The courthouse. It did not change the box, so I like it better. Um, go ahead and delete those to get what your boss boss should look like. Okay, because you're more accurate. Box plot there. Okay, so I think that's better, right? I think that, um, answers other than they asked for interpretations. Prime. Clear. If you're writing up your answers, um, you're going to have to say things like, um, for chortled to say, 25% of the data, um, falls below that 53 was my first quote job, but they may even want more specific to the story, which was about the percent of women attending colleges. So you could say, and 25% of the states, um, 53 percent or 1/4 of the state's 53% or fewer women attend college in. So for them, for the median or the second court valued, say, let's check our data. You say there's our medium is 55. So I would say in half of the states and D. C. 55% or fewer. Um, yeah, 55 or fewer percent of students attending college are women. CNN is first of all in all of the states, right? The minimum is 50. That means in in every state in the nation, at least half of alcohol students are women and mostly more. Right. Um, so in 75% of the nation, that number is up to 56% or your nights looking around the, um so anyway, interpret them as you will that way. So, um, the I Q R and an interpretation of it. You've got to say like, um, the middle 50% of states have between 53 56% of their college students are women. And, um, similar comments for the five number summary and the outliers. Okay, so you can say the two states where where there were fewer than 50% of college students who are women were considered outliers. So okay, so that's a lot of interesting discussion for you to ride up, and that's all for today.