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The 390* of Iho winncrs crdling lqumnament Itcent Yqnt Was 33 Yonte okaphorITran:lorrn thc aqe Io # I-scoro Iqemptet Ihe tasulla"(c) Dctemmine whethcr the aq0 & unusual

The 390* of Iho winncrs crdling lqumnament Itcent Yqnt Was 33 Yonte ok aphorI Tran:lorrn thc aqe Io # I-scoro Iqemptet Ihe tasulla" (c) Dctemmine whethcr the aq0 & unusual



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I Icre, ycllow procipirare (S) is of (a) $\mathrm{PbCrO}_{4}$ (b) $\mathrm{PbCO}_{3}$ (c) $\mathrm{PbCl}_{2}$ (d) $\mathrm{Fc}(\mathrm{OII})_{3}$

In this reaction, just look at it carefully he had in the yellow solution. Each I need to c r 04 This is yellow solution, and this solution will react with as to and so forth as village has to operation to give orange solution. Odd edge or in solution are at any two Cr 207 So option D. H. Correct here.

Everybody Colin here, let's go ahead and add these three numbers together. So the easiest way to look at this, perhaps, is to put 4.32 on the top, and then we're going to represent each of those numbers with the same amount of places behind the decimal point. So we're, of course, going to add, Ah, 3.85 and I'll add a zero there to the end of that. And then, of course, we're also going to add 2.6 and allowed to zeros to the end of that. And I'll fix that five right there because that might look confusing. That is, of course, 3.85 So we go to add these together. Two plus zero plus zero is, of course, to three plus five plus zero is eight zero plus eight plus six is 14 so add that four bring a one up top here. One plus four is five plus three is eight plus two is 10 so we'll go ahead and write 10 there and because our decimal place will go ahead and just bring that right on down here. And our final answer that we end up with is 10.482

Hello and welcome to this video solution of numerous. Here we are given a link comprehension. So here in statement one were given that and iron or a on roasting with sodium carbonate and lying in the presence of air gives to compound PNC. And you're from option the second part the solution be in concentrated. It's alan reaction with production furrows and it gives a blue color on precipitated of compound their cost solution of C. On treatment with considerate statistical gives a yellow colored compound E. And the compound even treat it with a seal gives an orange red compound F. Which is used as an ox raise anything. So you have to make certain predictions to come into the solution. So let me show you how it's made. So first of all we take for if he oh she had to poetry thus eight and a two freedom global neck And with air that is given seven or 2 good line gives you to a free two or three that's eight the name so Seattle four. That's it. It's a frustration. Next we have if we two or three reacting with concentrate sales that is given gives you who official three Last three H 2. Right now this official tree reacts with who before if he 10 6 that is protection fellow sign a great this gives you the blue solution pushing blue solution of if the four if he CN six whole trade plus 12 cases. Mm Next From three we have two any he wanted to see our well for That's 8/10 of food gives you we need to the odd 47 is the yellow color solution. Greatness in A. Two so four. That's it too. No you have in A to see our two or seven. Okay, last case here is the orange color substance of people pr two or seven that's 2010. So this is the so let us state what is A what is B. The first we have me is If you see a 23, this is a Next we have every two or 3 SCB or Yes. So this suits also be ready And in in 204 this is C. Right BNC. That is mentioned. Yes. Now this pushing blue books. Mhm. Yeah. Yeah. Whoa it is. Mhm. Okay. To see again this election with the this one your local er this is E and we have orange. What are some common? It does if Yeah. Right. I hope this is clear to you and have a very good rest of the day. Thank you.

Once again Welcome to a new problem this time we're dealing with history, Grams. So whenever you have descriptive statistics, you have a Knop sh in off reflecting your data using graphical methods and a history, Graham is a quantitative method for reflecting graphs. So in this particular problem, we do have the Y axis and the X axis. The X axis is extended, but we're gonna have a break on it just to show that it doesn't start where it starts. It starts at a different location, so we have a break right there and then on the y axis, we have the number and these air test scores thes air test scores. And then on the X axis, we have scores and scores are out off 80 thes air your scores out of 80. Uh, the history Graham reflects the distribution off scores. So, uh, you know, we have number off people number off test takers on the Y axis. So to four, 68 10, and 12. So these are even numbers. We can go on on their own up until 14 and 16, and then on the y axis, we have, um we have 48 Uh huh. And then we have a little bit above four. That's the next he's to groom, and then the next one after that, a little bit above eight. And then the next one after that, a little bit above, uh, at 14. You want to say that? Um, then the next one. After that, you have, um, 12. You have 12, and then the next one. After that, you have something about six eso. This is all he's to Graham. And on the scores, we have 48. We have 53. We have 58. We have our 63. We have 68. Yeah, 73. So we have 48. We have 53. We have 58. We have 63. We have 68. That's 12. And then we have, uh, 73 then the last one, uh, the last history Graham, we have it at the score is 78. This is only, um, like one subject. This is one. Only one subject had a score off 78. So, most off most of the subjects in terms of the distribution where we have a bump, most of the subjects hard scores uh, let's just say a, you know, between 53 68 or 73 just depends on the way you see it. So we can tell that the average is somewhere close to 63. The average is close to 63. So we have three locations. We have 53. We're going to call that a and then we have another location in the middle. We're going to call the B, and then we also have another location. Uh, we're gonna call that C If you assume this distribution is normal. If we assume this distribution is normal, then be is gonna be X. But, uh, which is the middle, which is the middle. So given thescore z equals to zero were given three Z scores and will define what does ISCO is as isco is simply how many standard deviations that the score is above all below the mean. So if you think about a normal distribution like the one we have, uh, in the normal distribution, you're gonna have, um, the middle, which is X b a and then you're gonna have a bunch of scores. For example, there's this call a z a score below the mean x ba is the sample mean? So this is sample mean, So this is called below the mean it's gonna have a negative cisco. And then there's a score above the mean it's gonna have a positive Z score. So all the school's above the main negatives. Isco's all the schools below, the mean sorry all the scores above the mean positives discourse all the schools below the mean negatives discos. And you can see that if you have a school at the mean is gonna have a Cisco of zero, the formula for Cisco is Z equals the X minus meal all over sigma. Or you could say X minus expert all over s sigma Is the population mean? Um And like we said, X ba is thesis sample mean? Uh, sorry. Mu is the population mean expires? The sample mean sigma is the population, um, standard deviation, population standard deviation and s sample standard deviation. So all we're saying is we have specific tests cause that we can determine whether the above the main or the below the mean. Assuming this distribution is close to normal, it means that our middle or mean is roundabout. at 63 where b is so at that point, If we have Z equals two, if we have Z equals two X minus ex BA over s and our Z score is zero. If our Z score is zero, so zero is X minus expert off s. That means the score has to be equal to the mean the score and demeanor equal, so that can only happen in the middle. So as isco off zero has to be paired up with a score at a which is 60 I think it's gonna be 63 uh, around about that. So a 63 and then the next disease called a Z off 2.1 full means that it has to be above the main and the only point that's above the mean. That's indicated. Is the sea off 78? So then this one see off 78 represents a Cisco off 2.14 and then finally, we also have a Cisco off negative 1.43 this one is a negatives. Isco. So it's below the mean the mean is x ba. It's below the mean right here. So they're only going back to the graph. The only point that's below the main that's given is a at 53. So Ah, Cisco off negative. 1.43 can be paired up with a value when it comes to distributions. When it comes to distributions scores that are rare our Sade to be unusual. Unusual. Um, so a Z School Z school off Z equals to two point 14 He's unusual because because on Lee, one subject, one subject Oz this position in the distribution in the distribution, in the distribution, in terms, off scores. So what do you mean by that? If you go back, you can see that there's only a single subject that had a score off 78. And in the other cases, we have multiple subjects. You know, we have, like, approximately two people here. Five people here, nine people here, 14 people here or a little bit above that. 12 people here. So in all the other schools, you have more people have more people. But then when it comes to the Z score off 2.14 you have Onley one, uh, subject. And so that's unusual. So once again, we had three z schools. Where to pair them up with either a b o. C Uh, it was below the me. So negative 1.43 b was like in the middle. So zero on. Then she was way about the maid. So 2.14 unusual Hope you enjoy the problem. Feel free to send any questions or comments. And you can see these, uh, hours isco. These are our Z school. So I hope you enjoy the problem. Have a wonderful day.


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