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12.53 AIDS Cases. Refer to Exercise 12.47. For AIDS cases in the United States in 2011, solve the following problems:

RegionWhiteBlackOtherTotal
Northeast1,1002,493
5,177
Northwest1,137
5043221
South2,7617,848
12,867
West
76417664,230
Total

605225,435

a. Find and interpret the conditional distributions of region by race.

b. Find and interpret the marginal distribution of region.

c. Are the variables "region" and "race" associated? Explain your answer.

d. What percentage of AIDS cases were in the South?

e. What percentage of AIDS cases among whites were in the South?

f. Without doing further calculations, respond true or false to the distributions of race by region are not identical.

g. Find and interpret the marginal distribution of race and the conditional distributions of race by region.

Short Answer

Expert verified

(a)

RegionWhiteBlackOtherTotal
Northeast1,1002,493
5,177
Northwest1,137
5043221
South2,7617,848
12,867
West
76417664,230
Total

605225,435

(b)

RegionWhiteBlackOtherMarginal distribution
Northeast1,1002,4931,5240.201
Northwest1,1371,5805040.127
South2,7617,8482,2580.506
West1,70076417660.166
Total6,69812,68560521

(c)Yes, the differences between "region" and "race" are associated because the conditional distribution of gender within levels is not the same.

(d) 50.6%

(e)41.2%

(f)

The given statement is true because the variables are associated .

(g)

RegionWhiteBlackOther
Northeast0.1640.1970.252
Northwest0.1700.1250.083
South0.4127,8480.373
West0.2547640.292
Marginal distribution0.2630.4990.238

Step by step solution

01

Step 1. Given

The given contingency table is

RegionWhiteBlackOtherTotal
Northeast1,1002,493
5,177
Northwest1,137
5043221
South2,7617,848
12,867
West
76417664,230
Total

605225,435
02

Step 2. Part (a) Determine the conditional distribution of region

RegionWhiteBlackOther
Northeast0.1640.1970.252
Northwest0.1700.1250.083
South0.4127,8480.373
West0.2547640.292
Total111
03

Step 3. Part(b) Determine the marginal distribution

RegionWhiteBlackOtherMarginal distribution
Northeast1,1002,4931,5240.201
Northwest1,1371,5805040.127
South2,7617,8482,2580.506
West1,70076417660.166
Total6,69812,68560521
04

Step 4. Part (c) Determine whether  the variables "region"  and "race" are associated or not

Yes, the differences between "region" and "race" are associated because the conditional distribution of gender within levels is not the same.

05

Step 5. Part(d) Determine the % of AIDS cases in south

50.6%

06

Step 6. Part(e) Determine the % of AIDS cases  among whites in south 

41.2%

07

Step 7. Part (f) Determine whether the statement is true or false

The given statement is true because the variables are associated .

08

Step 8. Part (g) Find and interpret the marginal distribution of race and the conditional distributions of race by region. 

RegionWhiteBlackOther
Northeast0.1640.1970.252
Northwest0.1700.1250.083
South0.4127,8480.373
West0.2547640.292
Marginal distribution0.2630.4990.238

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Most popular questions from this chapter

To decide whether two variables of a population are associated, we usually need to resort to inferential methods such as the chi-square independence test. Why?

Consider two χ2curves with degrees of freedom 12and 20respectively. which one more closely resembles a normal curve? Explain your answer.

School Enrollment. Refer to Exercise 12:48. For students below postsecondary, solve the following problems.

a. Determine the conditional distribution of level for each gender.

b. Determine the marginal distribution of level.

c. Are the variables "gender"" and "level" associated? Explain your answer

d. Find the percentage of students in nursery school.

e. Find the percentage of females in nursery school.

f. Without doing any further calculations, respond true or false to the following statement and explain your answer: "The conditional distributions of gender within levels are not identical " .

g. Determine and interpret the marginal distribution of gender and the conditional distributions of gender within levels.

In each of Exercises 12.11-12.16, we have given the relative frequencies for the null hypothesis of a chi-square goodness-of-fir text and the sample size. In each case, decide whether Assumptions 1 and 2 for using that text are satisfied.

Sample size : n= 100.

Relative frequencies: 0.44 , 0.25 , 0.30 , 0.01.

The t-table has entries for areas of 0.10,0.05,0.025,0.01and0.005. In contrast, the χ2-table has entries for those areas and for 0.995,0.99,0.975,0.95and 0.90.Explain why the t-values corresponding to these additional areas can be obtained from the existing t-table but must be provided explicitly in the χ2-table.

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