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Answers

licre the ycllow and orangc precipirares arc, rcspectively (a) $\mathrm{Na}_{2} \mathrm{Cr}_{2} \mathrm{O}_{2}, \mathrm{~K}_{2} \mathrm{Cr}_{2} \mathrm{O}_{-}$ (b) $\mathrm{K}_{2} \mathrm{Cr}_{2} \mathrm{O}, \mathrm{Na}_{2} \mathrm{Cr}_{2} \mathrm{O}_{2}$ (c) $\mathrm{Na}_{2} \mathrm{CrO}_{4}, \mathrm{~K}_{2} \mathrm{CrO}_{4}$ (d) $\mathrm{Na}_{2} \mathrm{Cr}_{2} \mathrm{O}_{2}, \mathrm{~K}_{2} \mathrm{CrO}_{4}$

In this problem, I can write DDX in it see http CH two C 00 H. This compound in pageants of Cl two A red P. That to be dad reaction. It will give the compound edge, see http C h C L C. O AT and this compound in perchance of alcoholic kO edge. The hydro chlorination happened here and the compound formed the CH two double 1 C h c o egg. Therefore, according to the option of indeed correct option, the is correct answer. I hope you understand the solution.

Then then yeah. Then answer food solution each boiled with an with an and h c 03 solution. It will produce integrated, produce, Yeah. Then ceo three as the final product. Therefore, according to the option option C age, correct and said obstinacy is correct. Answer for this problem.

In this problem I can write the reaction and CST CH two managed to in perchance of action or two 0-5° integrate will give this compound CS three CH 20 H. And this component to denso. PBL three will give CST CH two beyond and this compound in pageants of GCN we'll give CST CH two M. C. And this component presence of AL I am at full well finally give CST CH two NHCS three. This is compounded by this is component so according to the option, option C it correct here, option siege, correct answer.

For questions. 76. We are referring back to a previous case study that we've seen in this chapter where we have pain ratings of patients being treated with magnets and not magnets. And then we have some data where they gave their initial pain rating in their final pain rating, and we have the differences in those for the active group and the inactive group. So for a we want to construct a comparative dot plot of the data and describe what we see. So they've given us the data in the textbook. So looking at the dot plots, we have the active group where we can see that we go from 0 to 10 and there's a little bit of in between. And then we have the inactive group where most of our data points are on the left side, making a skewed right distribution. Have it labeled differences and rating and pain rating because this is the initial and the final differences and you can see that there's some slight differences between the active and the inactive were also asked to describe what we see here. So just looking at this, um, I see two distributions where I could describe these using the Sox methods shape, outlier, center and spread, Um, eso. When I describe the socks I want to compare using explicit comparison words, I want to mention where their centers are. What's the shape of each distribution, the spread? Compare the spread between the two and mention if there are any out layers or not. So for this distribution of differences and the active group versus the inactive group, the active group appears to have a center around five. Again. I'm just looking at here. Thesis enter of the active group appears to be around five. You can also just see where the balance point is. You can actually take the values and find the average of moving on. While the inactive group is less so, there's the explicit comparison word less being around one. The average is one. Here, the active group shows a greater spread 0 to 10, while the inactive group is only between zero and five. Again showing the explicit comparison word being greater, the active group appears roughly symmetrical, while the inactive group is skewed right and neither distribution shows outliers in part B of questions. 76 were asked to calculate the mean average change in pain rating for each group active and inactive. And they were also asked to find the difference in the average changes for the two groups. So the first thing we're gonna look at this the active, mean difference taking all the values, we're going to, um, find the sum of all the values that were given to us, and we divide by the total number. Um, doing this you get 5.241 That's the average. We also need to do this for the inactive group. We're going to the same calculations where we're gonna add up all the values divide by the total, and we all we get 1.95 So we have the both averages, and then we have to calculate the difference. The difference. Active minus and active, 5.241 minus 1.95 gives us a difference of 4.146 In part C were asked to describe how we could use index cards to randomly reassigned the subjects. Two treatment groups, assuming that the treatment received doesn't affect the responses. So we wanna come up some sort of random ization here. So in order to use index cards were gonna write all the patients names in a hat, we're gonna shuffle well, and we're going to select 29 unique names, meaning we're gonna sample without replacement. Those 29 names will be in the active group, and the rest will be in the inactive group Part D. Suppose we used your method and see to redo the random assignment 50 times. So we're gonna use this method 50 times. They give us a dot plot, ah fathom dot plot to be precise where they show us the differences. Active, minus inactive. For 50 simulations, the dot plot is centered around zero maybe shifted a little bit to the negative 0.5. Um, but ultimately, we see a range around negative to to positive to in Some of them are barely going past the those range values negative to positive, too. But for the most part, there ranges around negative to do positive two, it says, What conclusion would we draw on the effects of magnets on pain relief? So the main thing here is to look at what actually happened in our experiment. We had a difference of 4.146 We want to see where does that show up on our simulations? If this were happening by chance alone, where does this fall? So looking at our dot plot 4.1 point 46 doesn't appear. As a matter of fact, the biggest number is just slightly past two. So the difference of 4.146 is I. That's it's weird. We want to say it that way. So since the fathom DOT plot shows no simulated differences at 4.146 or greater, this means that a difference this great isn't likely to happen by chance alone. We can conclude that magnets probably do help these patients because what actually happened in our case doesn't appear when you performed the simulations. Using chance on Lee, you can probably, um, 0.2 magnets to saying they do help these patients


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