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Consistent with the results obtained Are the results from the glucose strp test from the Benedict $ solution test for glucose?Hint: It can be staled that the result...

Question

Consistent with the results obtained Are the results from the glucose strp test from the Benedict $ solution test for glucose?Hint: It can be staled that the results from fifty pcople who conducted the Benedict $ solution [ESt had exactiy the same nsults as shou in this Iab:Evaluate the expcriment and thc results obtained #ith thc glucose test strip. Provide twvo reasons andor cxamples t0 illustrte your answerHint: Pege 761: Evaluate: thc good or bad; thc advantagcs or disadvantages ofWhat might

consistent with the results obtained Are the results from the glucose strp test from the Benedict $ solution test for glucose? Hint: It can be staled that the results from fifty pcople who conducted the Benedict $ solution [ESt had exactiy the same nsults as shou in this Iab: Evaluate the expcriment and thc results obtained #ith thc glucose test strip. Provide twvo reasons andor cxamples t0 illustrte your answer Hint: Pege 761: Evaluate: thc good or bad; thc advantagcs or disadvantages ofWhat might the possible mistakcs be in oblaining the diffcrent: results using the glucosc test strips? Expcrimental crTors.



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Use these results from the “1­Panel­THC” test for marijuana use, which is provided by the company Drug Test Success: Among 143 subjects with positive test results, there are 24 false positive results; among 157 negative results, there are 3 false negative results. (Hint: Construct a table similar to Table 4­1, which is included with the Chapter Problem.) Screening for Marijuana Use Find the probability of a false positive or false negative. What does the result suggest about the test's accuracy?

Now the probability of getting the test right would simply be the sum of these two columns divided by our total of 300. But what we can notice is that these two events are compliments of each other, either something is positive or negative, the test returns a positive or negative result. And if we're not negative then we got to be positive. And when we found out that we have a 91% or 9% chance of being wrong, That implies that we have a 91% chance of being right with our test. So this is simply an application of the compliment rule where one is equal to the probability of a happening plus the probability of a not happening.

Problem 29 Bandits tests used to redact reducing sober, so almost cried like blue cause photos, glad to have it easy. Gibbs. Bandits test positive and reducing diocese cried like Mall does lactose give a man Nicht test positive?

This time, I want to find the probability off the subject either testing positive or not using marijuana. So subject testing positive is 1 43 by 300 1. 43 by 300 by 300 or or means addition. Not using marijuana, which is the addition of these two 24 plus 1. 54 is 1 78 by 300. Is that Is there something common? Yes. This is the intersection part minus 24 by 300. So what does this turn out to be? This turns out to be 0.99 So this is the probability that I want 0.99

So for this question we have two different scenarios but they're very similar. And we have them both graft here, which I will just draw the Y axis like this and X. Axis is this. And we have two different scenarios. But first let's just talk about the axes on the graph. So we know we're looking at, so the Y axis is just blood glucose level. We can think about this as being the blood sugar, how much sugar is present in your blood. And on the X axis we just have time so time, so how things progress pretty much. And we have two different colors that are going to be depicted on the graph. First we have the red which is representing the diabetic patient. And then we have I'll use blue, which I think the graph does as well. We're talking about the healthy quote unquote the healthy patient. And in this problem in this I guess experiment we have a situation where both patients they they're doing a glucose tolerance test where they drink a glucose rich solutions. They drink a lot. They drink uh fluid with a lot of glucose specifically that sort of sugar. And here is how they react. So here is the diabetic person We see goes up like this and gradually comes down something like that. Maybe not a perfect depiction. But whereas the healthy individual, we see a quicker spike and then we see a sort of taper off a little bit and then we see slowly go down and become more level. Okay, so as we can see there are similar trends here. What we can see in both situations because our goal is to explain the results and try and compare and contrast and understand. So initially it's pretty obvious we both see increase in blood glucose, right? Which makes sense. We just drink a sugary drink. But we do know that the diabetic increases more, right? So they have a higher blood glucose even though there's still a trend of them both increasing. But we also notice is that let's just make another old dash here. The healthy comes down or levels off sooner. Right. We see that the spike becomes more of a slope quicker in the graph where starts to come down a little bit quicker than the red, which still continues to rise. And then we both can see that D. And H. Being diabetic and healthy. I'm trying to the colors here. So you can tell easier ah tapers slash decreases at the end portion of the graph. Right? You see it both sort of level off after some time and become less than the initial spike when we drink the solution. Now, why is this going to be the case? Now we have to understand the physiology at hand for diabetic and healthy individuals. So, in a diabetic person, the main thing we have to be aware of is insulin sensitivity more specifically, a lack of so or insensitive two insulin and a little bit resistant to it. So the key here is that insulin works too, decrease blood glucose when it's spiked. But when you're diabetic, you have a resistance to it because you have a chronic higher blood glucose levels. That's why it was probably higher in the beginning, because it's chronically higher because you have typically been leading a lifestyle that contributes to having higher blood glucose and your body. What happens is it adapts adapts to the high blood glucose. So it takes a higher amount of blood glucose to realize that something is wrong. And then it has to start to reduce it. Which is why healthy individual. This levels go down quicker than a diabetic individuals. Because healthy person they have less of a uh resistance to insulin. So when their blood glucose goes higher, insulin is released and they say, oh wow! Their body, that is says, oh wow! We have insulin in our system. We need to do something about this blood glucose. We need to release insulin and start to metabolize this uh sugar in our blood. Whereas the diabetic individual, they're used to having more insulin in the body because they chronically have higher blood sugar. So they need a higher amount of insulin to be released before they start to metabolize that sugar. And that's why it still happens. Just happens later and after a higher amount of blood glucose level is reached. So those are the trends in the graph and that's the physiology behind why the diabetic person has a higher amount of blood glucose. And it takes a little bit longer for it to readjust to try and go back to its baseline.


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