Construct the indicated confidence interval for the difference between population proportions p1-p2 . Assume that the samples are independent and that they have been randomly selected.
x1 = 11, n1 = 45 and x2 = 18, n2 = 54; Construct a 90% confidence interval for the difference between population proportions p1 - p2.
0.094 <p1 - p2 < 0.395
0.067 <p1 - p2 < 0.422
-0.238 <p1 - p2 < 0.060
0.422 <p1 - p2 < 0.065
For Sample 1:
n1 = 45, x1 = 11
p̂1 = x1/n1 = 0.2444
For Sample 2:
n2 = 54, x2 = 18
p̂2 = x2/n2 = 0.3333
90% Confidence interval for the difference:
At α = 0.1, two tailed critical value, z_c = NORM.S.INV(0.1/2) = 1.645
Lower Bound = (p̂1 - p̂2) - z_c*√ [(p̂1*(1-p̂1)/n1)+(p̂2*(1-p̂2)/n2) ] = (0.2444 - 0.3333) - 1.645*√[(0.2444*0.7556/45) + (0.3333*0.6667/54)] = -0.238
Upper Bound = (p̂1 - p̂2) + z_c*√ [(p̂1*(1-p̂1)/n1)+(p̂2*(1-p̂2)/n2) ] = (0.2444 - 0.3333) + 1.645*√[(0.2444*0.7556/45) + (0.3333*0.6667/54)] = 0.060
-0.238 < p1 -p2 < 0.060
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