Question

In: Statistics and Probability

Independent random samples of n1 = 800 and n2 = 670 observations were selected from binomial...

Independent random samples of

n1 = 800

and

n2 = 670

observations were selected from binomial populations 1 and 2, and

x1 = 336

and

x2 = 378

successes were observed.

(a) Find a 90% confidence interval for the difference (p1p2) in the two population proportions. (Round your answers to three decimal places.)
to

(b) What assumptions must you make for the confidence interval to be valid? (Select all that apply.)nq̂ > 5 for samples from both populationssymmetrical distributions for both populationsnp̂ > 5 for samples from both populationsindependent random samples

n1 + n2 > 1,000


(c) Can you conclude that there is a difference in the population proportions based on the confidence interval found in part (a)?

No. Since zero is not contained in the confidence interval, the two population proportions are likely to be equal.Yes. Since zero is contained in the confidence interval, the two population proportions are likely to be different.    No. Since zero is contained in the confidence interval, the two population proportions are likely to be equal.Nothing can be determined about the difference between the two population proportions.Yes. Since zero is not contained in the confidence interval, the two population proportions are likely to be different.

Solutions

Expert Solution

a)

Here, , n1 = 800 , n2 = 670
p1cap = 0.42 , p2cap = 0.5642


Standard Error, sigma(p1cap - p2cap),
SE = sqrt(p1cap * (1-p1cap)/n1 + p2cap * (1-p2cap)/n2)
SE = sqrt(0.42 * (1-0.42)/800 + 0.5642*(1-0.5642)/670)
SE = 0.0259

For 0.9 CI, z-value = 1.64
Confidence Interval,
CI = (p1cap - p2cap - z*SE, p1cap - p2cap + z*SE)
CI = (0.42 - 0.5642 - 1.64*0.0259, 0.42 - 0.5642 + 1.64*0.0259)
CI = (-0.187 , -0.102)


b)

nq̂ > 5 for samples from both populationssymmetrical distributions for both populationsnp̂ > 5 for samples from both populationsindependent random samples

c)

.Yes. Since zero is not contained in the confidence interval, the two population proportions are likely to be different.


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