(A) Construct a 90% Confidence Interval for the Difference Between

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The Answer is (A)

(A) →(-0.0382,0.117) (B) Because the 90% confidence interval includes the value 0, we cannot reject the null hypothesis of equal proportions. Therefore, there is sufficient evidence to conclude, at the 10% significance level, that the two teams differ with respect to their proportions of unacceptable assemblies (C) = (15 + 8) / (145 + 125) = 0.0852 Z - value = = 0.0394 / 0.0341 = 1.155 Critical values = Since z-value does not fall in the rejection region, we cannot reject at the 10% significance level. Therefore, there is no sufficient evidence to conclude, at the 10% significance level, that the two teams differ with respect to their proportions of unacceptable assemblies (D) p-value = 2p(Z >1.155) =2(0.124) = 0.248 Since p-value=0.248 > =0.10, we cannot reject

→(-0.0382,0.117)

(B) Because the 90% confidence interval includes the value 0, we cannot reject the null hypothesis of equal proportions. Therefore, there is sufficient evidence to conclude, at the 10% significance level, that the two teams differ with respect to their proportions of unacceptable assemblies

(C)

= (15 + 8) / (145 + 125) = 0.0852

Z - value =

= 0.0394 / 0.0341 = 1.155
Critical values =

Since z-value does not fall in the rejection region, we cannot reject

at the 10% significance level. Therefore, there is no sufficient evidence to conclude, at the 10% significance level, that the two teams differ with respect to their proportions of unacceptable assemblies

(D) p-value = 2p(Z >1.155) =2(0.124) = 0.248

Since p-value=0.248 >

=0.10, we cannot reject

(A) Construct a 90% Confidence Interval for the Difference Between

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