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Use the cross-tabulation below for the variables SEX and OTHSHELP (attitude toward helping others less fortunate than others) drawn from GSS responses:Othshelp Peop...

Question

Use the cross-tabulation below for the variables SEX and OTHSHELP (attitude toward helping others less fortunate than others) drawn from GSS responses:Othshelp People stiouldtiele Iess {oxtunala CrormbulatiogSEZ Rapondente' se*RdnondntLMFENANJTASHEL? Pron dnoehnnTRoncl ACHEIACAECacaceorRemunue 48nJSAOReeAnoncCompute the cell column percentage for males who strongly agrer that people should help less frtunare others Round (0 the nearest whole nunibjer when expressing J5 percentage

Use the cross-tabulation below for the variables SEX and OTHSHELP (attitude toward helping others less fortunate than others) drawn from GSS responses: Othshelp People stiouldtiele Iess {oxtunala Crormbulatiog SEZ Rapondente' se* Rdnondnt LMF ENAN JTASHEL? Pron dnoehnn TRoncl ACHEI ACAEC acaceor Remunue 48n JSAORee Anonc Compute the cell column percentage for males who strongly agrer that people should help less frtunare others Round (0 the nearest whole nunibjer when expressing J5 percentage



Answers

Use z scores to compare the given values. Red Blood Cell Counts Based on Data Set 1 "Body Data" in Appendix B, males have red blood cell counts with a mean of 4.719 and a standard deviation of $0.490,$ while females have red blood cell counts with a mean of 4.349 and a standard deviation of $0.402 .$ Who has the higher count relative to the sample from which it came: a male with a count of 5.58 or a female with a count of $5.23 ?$ Explain.

A question number 15. It was given for females that explore equal to 3000 and 272.8, and for us equal to 660.2 and 43 years. Export equal to 337.1. And there's equal to 706.3. Is it a score? Is the value decreased by the mean divided by the standard education? So male will be that equal to X minus six War over us. The equal to 1000 and 500 you saw them and 272.8 over 660.2 well approximately equal to negative. Two 0.6 thousands. 852 For females that would equal to X minus export over us equal to 1000 on 500 minus three thousands and 37.1 over 706.3. We're approx with equal to negative 2.1000 and 763. The most extreme value has a score that is the farthest from zero since the value negative 2.6 thousands on 800 and 52 is the farthest from you, then the value negative. 2.1763. The main Who ways? 1000 and 500 g. If the more extreme related Lee. And that's the final answer for this question. Thank you.

Okay. So for this problem, we will still use the same data for male. Mhm. So we have a mean Okay, This we call to 68.6 and thunder. That's equal to 28. 2 points. Hey, so for or a okay, we're asked for the percentage. That would be the height requirement. That's between 50 60 62 inches. So this is from 56 to 62 inches can at the area under the curve. Okay, so we're looking actually for the probability that X is greater than 56. Request in 62. And in order to do that, we have to standardize our X values to see if they have Z equals X minus cream over sigma. Okay, so when access 56 we have Z equals 56 minus 68.6 all over 2.8 Mhm. So, yeah, this have to compute for this one, okay? And you must have a value of Z score. That's equal to negative 4.5. It's negative. 4.5. And then the other z score ISS from 62 minus 68 point 6/2 68.0.8. Okay, so So before disease core. Yeah. Hey, so use your calculator for easy calculation. Easier calculation. This is negative. Negative 2.36. So we're looking forward Probability that these greater than negative 4.5 watts negative to 36. Just equal to the probability that Z is less than negative 2.36 minus the probability that Z is less than negative. 4.5. Okay, So look for these values on the table. We have probabilities. Lesson negative. 2.36. This is 0.0 00 19. And since the Z table can accommodate around negative 3 to 3 and these values about 20 Okay, hence the percentage iss 0.0 19 times 100%. Hey, times 100%. Oops. This is 100 this equal to 0.92%. Okay. Mhm. All right. And then, if the mhm height requirements are changed to exclude the tallest 50% off men and shortest 5% off men. Okay, so this will be a bit long calculation. What easier way get a hand of it. Yeah, Mhm are some technical difficulties, I guess. Yeah. Okay, so we'll just call it down. So now we're looking at we're looking for the X values. So we're excluding 50% tallest and then 5%. This is 5% shortest. So we have hex here in another ex here. Okay, so let's start with this one. So instead of x will have to use disease. Since we have the Z table, we're going to use the Z table. So we're looking for the probability that disease less than a certain value, could give us an area that's equal to 0.0 plan. Mhm. So look at the Z table that would give us an area. It's equal to 0.5 and this is actually equal to negative one point 65 mhm. And then for this one we have we're looking for the problem with disease. Greater than a certain thescore will give us an area off 0.5 mhm. So yeah. Yeah, and the value of Z here. ISS actions zero does your at the middle. Right? So now we have to solve for X using the same formula. Z equals X minus mu nu all over sigma. So when these negative 1.65 maybe 1.65 calls X minus 68.6 over to find it. Okay, So sulfur that we have 1.65 times. 2.8. We have negative. 4.62 4.62 because X minus 68 6. So adding 68.6 on both sides off Be creation. Here you have 63 points. Thanks to eat. Okay, so this will be a bird lower about before the upper bound you have called zero equal to X minus 68. 6/2 680.8. So moving by 2.8 on both days of vacation, we have zero cost X minus 68.6 and then adding six state. On both sides, we have 68.6. So the new requirement is from 63.1966.

The problem. Uh We are given red blood cell counts for male and female. And uh were asked that you know with a with a dude with a 4.91 blood count versus a female with 4.32 um blood count, which one is who has a higher count relative to their um um gender. Right? So So let's draw a sort of the distribution from the problem statement. So for males, red blood cell count is the mean is 4.072. And the standard deviation is um .395. We can repeat this procedure for the female red blood cell count. And if we draw out the distribution, we get that the mean is or the problem says that the mean is 4.74.577. And the problem also states that the standard deviation is 0.382. So with this um the problem statement asking with a male with 4.91 blood count, right? And the female versus female with 4.32 which one is the greater one? So what we have to do is not find Aziz for because we're trying to figure out Which blood count is higher relative to their population, right? Where relative to the um their gender specifically. So it's 4.91 subtracted by the mean of the male red blood cell count. So this gives the difference and then you divide it by .395. And this gives the value of negative um zero negative .41 Z. Score. So it's a little bit below. Um as for the female RBC, um the problem statement gives us a 4.32. So you subtract that with the mean 4.577 and then you divide that by 0.382. And for this you get a Z. score of .673. So you can clearly tell that Um this .14- .41 is higher than um the value here. Therefore this um male blood count is higher relative to their female counterparts.

In problem 33. We have 40 records for different meals and we have their birth state. According to this data, we want to find the mean and the standard deviation for the birth date of meals. Mm. Birthday. We want to get them in using a calculator or excel, for example, as a software we can get them in, which equals the submission over the values divided by their number, which is 40 equals 67 0.25 beats per minute. And the Central Division working with this data as a population, not sambal sub population sigma will equal the submission of each value minus, um, you the square divided by and and we will take the square root for this to get the standard division, then the standard division using X l equals 10.2 or fight and two make sure that the distribution for the bolster its is normally distributed. We can make a instagram excel. For example, after making the instagram, we can see that instagram makes something like that if used, for example, five categories which means it's roughly normal. Distribute this attribute for birdie. We want to get the ball to read that spreads the lowest and the highest 2.5% of the birth rate, which means for the normal distribution here, this is a mean, which is 67.25 And here and here we want to get these values which separates the lowest 2.5%. This is area equals Oh point oh 25 And this area is all point or 25 point To get this value and this value. To get this value, we can use accommodative, normal distribution tables. The community of standard normal distribution tables is given here We will search the table for an area which equals 0.25 By searching, we can see that we have here point or two and this is a value we want to get over it. Oh, 25 It's at minus 1.9 six years six, 6789 Which means the value is minus 1.96 The value here is minus 1.96 As I said, the school and here that equals by cemetery on 0.96 And we know that Does it score equals X minus mu divided by sigma, then to get X one. We can call this as X one or X l lowest Ex lowest equals Segue. Mama Deployed buys it. Bless me. Sigma is calculated as 10 point 205 multiplied by zero minus 1.96 plus in mu equals +67 67.25 These gifts then going to five No. 47 0.25 Pete per minute. And to get the X highest excised equals the same Sigma multiplied by Is it the desert score for the highest level, or the separation is 1.96 plus mule, which is 67.25 This gives 87 going to 5 ft per minute. And these are the final answers of party and this is the final answer. These are the final answers of party of the problem.


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