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Racial Crossover. In the paper "The Racial Crossover in Comorbidity, Disability, and Mortality" (Demography, Vol. 37(3), pp. 267-283), N. Johnson investigated the health of independent random samples of white and African-American elderly (aged 70 years or older). Of the 4989 white elderly surveyed, 529 had at least one stroke, whereas 103 of the 906 African-American elderly surveyed - Lported at least one stroke. At the 5%significance level, do the data suggest that there is a difference in stroke incidence between white and African-American elderly?

Short Answer

Expert verified

At 5% level of significance, the data do not suggest that there is a difference in stroke incidence, between and African - the American elderly.

Step by step solution

01

Given Information

The given values are,

x1=529,n1=4989,x2=103,n2=906,α/2=0.025.

02

Explanation

The formula for p~1is given by,

p~1=x1n1

The formula for p~2is given by,

p~2=x2n2

The formula for zis given by,

localid="1651312298549" z=p~1-p~2p~p1-p~p1n1+1n2

The formula for p~pis given by,

p~p=x1+x2n1+n2

The value of p~1is calculated as,

p~1=x1n1=5294989=0.1060

The value of p~2is calculated as,

p~2=x2n2=103906

=0.1137

The value of p~pis calculated as,

p~p=x1+x2n1+n2

=529+1034989+966=0.1072

The value of zis calculated as,

z=p~1-p~2p~1-p~p1n1+1n2

=0.1060-0.11370.1172(1-0.1172)14989+1906=-0.69

Calculate two-tailed critical values are.

±za/2=±z0.05/2=±z0.025=±1.96

|z|=|-0.69|=0.69the test statistic values less than the critical value of1.96.

p~2=x2n2=103906

We concluded that there is no difference in stroke incidence between African - the American elderly at the 5%level of significance.

As a result, at a 5% level of significance, the data do not suggest a difference in stroke incidence between and African - the American elderly.

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Most popular questions from this chapter

Vasectomies and Prostate Cancer. In the United States, approximately 450,000 vasectomies are performed each year. In this surgical procedure for contraception, the tube carrying sperm from the testicles is cut and tied. Several studies have been conducted to analyze the relationship between vasectomies and prostate cancer. The results of one such study by E. Giovannucci et al. appeared in the paper "A Retrospective Cohort Study of Vasectomy and Prostate Cancer in U.S. Men" (Journal of the American Medical Association. Vol. 269(7), Pp. 878-882), Of 21,300 men who had not had a vasectomy, 69 were found to have prostate cancer; of 22,000 men who had had a vasectomy, 113 were found to have prostate cancer.

a. At the 1% significance level, do the data provide sufficient evidence to conclude that men who have had a vasectomy are at greater risk of having prostate cancer? Consider men who had had a vasectomy Population 2.

b. Is this study a designed experiment or an observational study Explain your answer.

c. In view of your answers to parts (a) and (b), could you reasonably conclude that having a vasectomy causes an increased risk of prostate cancer? Explain your answer.

a. Determine the sample proportion.

b. Decide whether using the one-proportion z-test is appropriate.

c. If appropriate, use the one-proportion z-test to perform the specified hypothesis test.

x=16

n=20

H0:p=0.7

Ha:p0.7

a=0.05

Prerequisites to this exercise are Exercises . Why do your graphs in parts (c) of those exercises illustrate the impact of increasing sample size on sampling error? Explain your answer.

Suppose that you can make reasonably good educated guesses, p^1gand p^2g, for the observed values of p^1and p^2.

a. Use your result from Exercise 11.132to show that a (1-α)-level confidence interval for the difference between two population proportions that has an approximate margin of error of Ecan be obtained by choosing

n1=n2=p^1g1-p^1g+p^2g1-p^2gza/2E2

rounded up to the nearest whole number. Note: If you know likely ranges instead of exact educated guesses for the observed values of the two sample proportions, use the values in the ranges closest to 0.5as the educated guesses.

b. Explain why the formula in part (a) yields smaller (or at worst the same) sample sizes than the formula in Exercise 11.133.

c. When reasonably good educated guesses for the observed values of p^1and p^2can be made, explain why choosing the sample sizes by using the formula in part (a) is preferable to choosing them by using the formula in Exercise 11.133.

Explain the relationships among the sample proportion, the number of successes in the sample, and the sample size.

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