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Tne data gien below show tra numdor overimeMoed in Onoumnlovee Ust tne datucon Dlate parts (@) and (61.Ovartlme houro Employces Consbruct # probably dlstnbulion Gra...

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Tne data gien below show tra numdor overimeMoed in Onoumnlovee Ust tne datucon Dlate parts (@) and (61.Ovartlme houro Employces Consbruct # probably dlstnbulion Graph the ptobabiity Gistribulon Using / histogrem end duscibe shapu Consinct tha probubilily dislnbution by camplotin? Iho Iabu balow.Pls)(Round to Eirvo docimal plucoenuadnd

Tne data gien below show tra numdor overime Moed in Ono umnlovee Ust tne datu con Dlate parts (@) and (61. Ovartlme houro Employces Consbruct # probably dlstnbulion Graph the ptobabiity Gistribulon Using / histogrem end duscibe shapu Consinct tha probubilily dislnbution by camplotin? Iho Iabu balow. Pls) (Round to Eirvo docimal plucoe nuadnd



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Draw a box-and-whisker plot for each set of data. $$\begin{aligned} &\begin{array}{c} \text { Magnitude of Recents Major}
\text {Earthquakes } \end{array}\\ &\begin{array}{|l|l|l|} \hline 6.1 & 8.7 & 7.1 \\ \hline 6.9 & 6.9 & 8.1 \\ \hline 6.6 & 7.1 & 6.6 \\ \hline 6.8 & 6.8 & 6.8 \\ \hline 6.5 & 7.1 & 7.0 \\ \hline 6.5 & 6.8 & 6.7 \\ \hline 6.7 & 9.0 & 7.2 \\ \hline \end{array} \end{aligned}$$}

A problem. 29 from the scatter plot. We indicate that the better in the scatter plots slope upward, which indicators the hourly wage increases the number of hours.

All right. So the first thing I'm gonna do is put these numbers in order. That could be fun, because there are a lot of them and their big numbers. So we're gonna try to write them in a little slammed looking I can get my panda. Right. So I have 1 59 1 60 1 65 1 67 1 68 1 76 1 82 1 85 1 90 1 92 1 93 1 97 201 Teoh too Teoh 02 23 to, uh uh 1906 So now that my numbers air all the way across I can't find my mediums in my court tiles. And so if I break these numbers in half my number, my median is gonna fall right in the center here. And it's gonna be 1 91 So that's my medium. My lower quarter is gonna be this number here and my upper quarter, uh, is gonna be this number here so that I've broken my data up. My minimum is here. My maximum is here. So now I need a number line. Now, when you draw your number line. You want to make sure that you have your men and your max on that number line. So we're gonna do 1 60 So that 1 59 will be right there, and we're going to do 205 And so there's aren't you? 06 Right there. Now, as far as breaking this number line up, you can do that in a number of different ways. Ah, the halfway point here. So we've got about 45 difference here, So we just count by five. We have 1 65 70 75 80 85 90 90 by that's not quite. And you go a little further apart. Try that again. Um, so let's go. 65 70 75 80 85 90 95 200. Um, And so there you go. So we've got 1 70 This will be 1 80 War 90. Not 1 90 to hunt now. Ah, so a 1 90 No, that's not right. So this was 65 1 70 1 80 1 90 200. You could fill in the rest of those numbers if you choose. So if we're gonna marker points, we've got our minimum at 1 59 We've got our maximum at 206 Our media isn't 1 68 I'm sorry. Are lower quartile isn't 1 68 Our median isn't 1 91 and our upper quartile is at 202 And so now we can connect those in the center to create our box and then connect our whiskers at each end. And so here you have your lower the minimum value. You have your lower court tile. You have your median, your upper quartile and your maximum.

Okay for this problem, We are asked Teoh graph a scatter plot of some time and temperature data. So for time, we're gonna put that on the X axis. Notice I made a what's called the first quadrant grid. So it doesn't always have to be, like 00 like a big plus sign. So here into time, I'm going to start off with zero on this. Be one oclock in two o'clock three o'clock, oclock. I'm black. Six clock, seven o'clock. Okay, so, um, you label every other one. So I guess this is time starting off at noon and then on my y axis is kind of unusual. You kind of want to start off at zero whenever you can. So when my numbers up in the sixties and seventies, But I kind of counted out ahead of time. So I start off with temperature that we believe this to be a zero. So we're gonna make this, uh, miss 10. This is 20 30 40 50 60 70. And students don't like it when you go off the grid a little bit here, but it's OK. Probably change that arrowhead there, But what's more important is that we get a sense of scale of for how warm it is. So I want to start off from zero here from time. I'm starting out from my guess. 12 o'clock is really what I'm doing here. So let's go. One oclock uh, 71 degrees. So she was up here, Came in at three o'clock. It's 74 degrees, No warm right in the five o'clock in 68 degrees at seven o'clock. It is 63 degrees. So makes sense, because at the end of the day gets cooler. Okay, that's a scatter plot. So what I'm not gonna do? I'm not going to connect the dots. I'm not gonna put a line in there like this, cause that's not exactly how things work. So it's got a plot. You just have the dots like that. Okay? And you don't have to just coincidentally, didn't want I label that were the 1135 But you don't have to label the ones that go with your points. But this does give you a good example of what be scatter plot Looks like one of the thing I kind of left off was labels, so we definitely do want to have labels. So this is temperature. Oh, doesn't say degrees since Celsius or Fahrenheit, but it should. And then this is the time I did label. All right, if it helps you out.

21. The steam and leave flopped. Same. It's 502355 six and 67 and 78 and eight and ate and ate on nines. 601113 45566 and seven and seven is to who were the key. It's five and the roses 15, so the better. So the distribution is is skewed to the right because most of the data line near the top off the graph, most of the data various appeared toe lie between 50 and 59 years. As most of the data light in the same off five, there do not appear to be any unusual data because there is no gaps in the same and they blocked.


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