by-sex-and-nationality-who-had-the-greatest-increase-in-life-expectancy-between-1955-and-1990-a-kore

Question

By sex and nationality, who had the greatest increase
in life expectancy between 1955 and 1990$?$
(A) Korean females
(B) Korean males
(C) Costa Rican females
(D) Costa Rican males

Lily An · Accepted Answer

Okay, so for this woman says, by sex and nationality, who had the greatest increase in life expectancy between nineteen fifty five and nineteen ninety. So what we&#x27;re gonna do is we&#x27;re going to go through each of the choices and see what the increase in life expectancy this. So let&#x27;s go ahead and look at the Korean female. So from nineteen fifty five to nineteen ninety, we&#x27;re going to be looking at second one because that&#x27;s for females. Korea is the lowest line. So in any thirty five that&#x27;s around, I would say that&#x27;s around like fifty. So we&#x27;re going from fifty all the way to something like seventy five in nineteen ninety. It&#x27;s not stripped. The Korean males, Korean males go from about of forty. That&#x27;s a forty nine for that one all the way to about sixty six at the end. Okay, so then, for the Costa Rican families, females, we know it&#x27;s going to be the second line over here. So in nineteen forty five, it was around fifty eight. No increases all the way to about seventy six. I can see them for the Costa Rican males That&#x27;s over here, so over here will have excuse me. Increase of from fifty seven all the way through about seventy three. So now if we&#x27;re looking for the greatest increase, we have to find the difference between these and see how many years increase it wass for the Korean females, that&#x27;s about twenty five. Her Korean males sixty six minus forty nine, is about seventeen or the Costa Ric and females. It&#x27;s going to be seventy six minus fifty eight, just about eighteen. For the Costa Rican males, it&#x27;s gonna be seventy three minus fifty seven, which is about eighteen as well. So Korean females have the greatest increase in life expectancy between nineteen fifty five in nineteen ninety.

Coach Rye · Answer

all right, guys from 94 It says life expectancy improved more from me females than four males during the 19 forties fifties due to a dramatic decrease and material more maternal mortality rates. The function l basic will to 98 78. That&#x27;d be crazy. 78.5 times 1.1 to the power of a can be used to model life expectancy for white meat females. With the present A. J says, to what age can a 20 year old expect to live for white female? So we&#x27;re just gonna play in the 20 into. Danielle is equal to Sandy 8.5 times 1.1 to the power off 20 and that gives you a value of 80.85 so she can expect to leave to be 80 years old. Part B now says Bottles 30 and actually is 26. Our average white couple how many years can actually expect to live as a widow. So now we&#x27;re going to use the equation from the previous problem for males, which 72.2 times 1.2 to the age of bugs which is 30. And now we&#x27;ll do Ashley&#x27;s as well, which is gonna be 78.5 times 1.1 to the power of 26. I&#x27;m gonna plug both of those in. So when we do this for Bob, he comes out to 76.66 Ashley comes out to 80.56 So what that means is Ashley is gonna have to be a widow for about four years. No see says, interpret the intersection of life expectancy curves in the company figures. From now on, your book&#x27;s terrible to see the curves that looks something like that. The top line is women. The bottom line is men. So what does it mean after this point here? So after this point here, process and age males will now expect to live a little bit longer more than

Julie Silva · Answer

So in this problem, work given to functions, Emma, Why an effort? Why, that represent the life expectancy for males and females, respectively. So, in part A, they want us to figure out how much greater was the life expectancy of a female born in 1950 compared to a male born in 1950. So to do this, we&#x27;re first gonna figure out what the life expectancy was for a female in 1950. So we have to find f off 1950. So we simply substitute 1950 in place of why in our function so well have 0.18268 times 1950 minus 284.98 And this can simply just be punched into your calculator. So when you do this, you will find you get 71.246 Now, we&#x27;re gonna do the same thing. But for males, we have to find m of 1950. So we&#x27;re gonna substitute 1950 for why, in our m function so well, have 0.16252 times 1950 minus 251 0.91 And again, you can just take this and punch it into a calculator and you&#x27;re going to get 65.4 now remember, the question was, how much greater was the life expectancy for female compared to a male? So we simply need to subtract thes two values. So when we do 71.246 minus 65.4 we&#x27;re going to get 6.242 So that&#x27;s how many years difference that there would be between the male and female life expectancy in the year 1950. Now, part B of this question wants to know. Are the lines in the company figure parallel? Well, remember, the lines in the figure represent the two equations that were given for these functions, so if they&#x27;re parallel, the slopes would be the same. But as you can see, the slopes of these two lines are not the same. Therefore, they&#x27;re not parallel now. Part see, in what year will female life expectancy be eight years greater than the male life expectancy? So that means if I take the mail, expect life expectancy and add eight to it. That should equal the female life expectancy so I shouldn&#x27;t see off. Ran out of room. But like we just mentioned, we didn&#x27;t want to figure out when it&#x27;s the male life expectancy, which is em off. Why, when we increased us by eight, we&#x27;re told will give us the female way life expectancy, which is effort. Why? So now we&#x27;re just gonna substitute our functions in for these two expressions Will remember Emma. Why was 0.16 to 5 to why minus 2 51.91 And we&#x27;re adding eight to it. And it&#x27;s equal to the female life expectancy, which was 0.18268 Why? Minus 2 84.98 Now we just have to solve this equation for why? Well, on the left hand side of our equation, we have, like, terms so negative to 51.91 plus A is going to be negative to 43.91 so we&#x27;re gonna have 0.16 to 5 to why minus 243.91 is equal to 0.18268 y minus 284.98 Okay, so Now, I&#x27;m gonna want to get my wise on the same side of the equation to do this. I&#x27;m going to subtract 0.18268 Why from both sides of our equation? Because then our white terms will cancel each other up. So when we do 0.16252 minus 0.18268 or left with negative 0.2016 Why? And I&#x27;m gonna bring down the minus 243.91 is equal to negative to 84.98 So now I&#x27;m gonna add to 43.91 to both sides. So when I do this, I&#x27;m going to be left with negative 0.2016 Why is equal to well negative 284.98 plus 243.91 is going to give us negative for the 1.7 now to get why by itself, we simply have to divide both sides by negative 0.2016 Well, negative for the 1.7 divided by negative 0.2016 We get a decimal value, but we&#x27;re talking about a year, so we want around to nearest hole number, which will give us the year 2037. So this will be the year where the female life expectancy is eight years greater than the male life expect.

Amrita Bhasin · Answer

Okay. The first thing you have to do is given all the data under the category of population for Argentina, Bolivia, all the other countries, all the countries we have We should add all these up. So 39.1 plus 8.7 plus 184.1 plus 15 point a plus 42.3 plus 13.2 plus 0.7 plus 6.2 plus 27.5 with 0.4 plus 3.4 plus 25. You use your graphing calculator. Since calculator add this up, you should get 366.4. Okay, now we&#x27;re fine. So now we must. This was the total population in South American nations because what we did was just add up the population each of the nation&#x27;s. Now we were determining the mean life expectancy using the weight, which means we have to do 72 times 39.1 plus 62.5 times 8.7. So, in other words, what we&#x27;re doing is looking at the table. We&#x27;re doing the wait for the males times the population plus the wait for the mail time the population for each of the countries. There&#x27;s 12 countries, so make sure that you do this 12 times for all the others, like the next one order would be 67.5, 67 points. Yes, 67.5 for Brazil Times 184.1 seems to continue doing this for all the other nations, and then when you&#x27;re done adding them up, we have to divide by the total population South American nations, which we just found, which was 366.4. So when you do that math, all these add up population times. Wait, divide by total population and you should get 68 point 67 so we can round this 2 68.7 years approximately so. This is the mean life expectancy for men using the data off population and male age. It&#x27;s the mean life expectancy

Dennis Howard · Answer

into this question. We need to have some background knowledge on how race and ethnicity play a role in health outcomes. Now, of course, there is more to it than just simply the biological underpinnings. Ah, that some ethnic background or racial background could have. Instead, we are also looking at how the socioeconomic profile over the individual will Ole affect their health. Um, and if we are looking at it in this greater context, we find that in this general sense, we see the trend that, in comparison to white Americans, um, Asian Americans are going to have a better health profile. That&#x27;s just across the board. If we&#x27;re looking at an overall assessment, we find that Asian Americans are going to have, um, better health profiles than white Americans. If we look at Hispanic Americans, Native Americans, we find that their health profiles are going to be, um, both better or, perhaps worse, van the health profiles for white Americans. So in some categories, they might be better somebody worse. But overall they might be, You know, they have a mixed sort of health profile. We&#x27;re looking at Hispanic Americans, Indian Americans compared to white Americans and then if we, um look at African Americans. Unfortunately, what we see is that there is going to be a worse overall health profile in comparison to white Americans. So going back to our question which, um, ethnic or racial background is going to have a better health profile than that which we see for white Americans, well, it would have to be the Asian Americans. So once again, this is simply a memorization question. You have to know these relationships and how these, um, health profiles are going to be ordered and ranked. And this means that after we have done that background reading and we have that background knowledge were able to answer the question, saying that Asian Americans will have the batter overall health profile than white Americans, so that makes choice be the correct answer.

Lily An · Answer

Okay, So for this one and says for how many of the country&#x27;s list in the grass is it true that the life expectancy of a female porn in nineteen fifty five was higher than life expectancy of a male born in nineteen ninety? So we want the females nineteen fifty five to be greater in males in nineteen ninety, and so it&#x27;s going to start from the top. So for Norway, we know that for the females were looking at the bottom graft. It&#x27;s about ninety fifty five. It&#x27;s about in seventy five, and then for the males of nineteen ninety, it&#x27;s about seventy four. So for Norway, females of seventy five and that is greater than seventy four, that one works. So let&#x27;s look at Hungary. So for Hungary, we know that at nineteen, fifty five, females is about sixty seven and then nineteen. Ninety males is about sixty nine, so sixty seven is not greater than sixty nine to that one does not work for hungry, so that must suck for Costa Rica. So for the females of nineteen fifty five in Costa Rica, that was about fifty eight, and then for the males of nineteen ninety for Costa Rica, that is about seventy three. So again, not greater for the females. That one does not work for the Republic of Korea in nineteen fifty five. Ah, life expectancy of women is very low around forty nine, I would say. And then for the males in nineteen ninety, Korea sits at about sixty six. So again, this one is not greater. So we know that that one also just not Rick. So the correct answer is who won for this one? I think the key is to set up this situation right here is that you give yourself a guy&#x27;s line of what you&#x27;re looking for. So you&#x27;re looking for the females of nineteen fifty five having a greater life expectancy than males of nineteen ninety, and you can use this template and apply it to all of the countries.

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It's difficult to imagine an epidemic on this kin…

Problem 19 Hard Difficulty

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