Note: I've reordered the proportions so that we get a positive (+) value difference. Given p−1p−1 = 0.90, n1 = 350 and p⎯⎯2p¯2 = 0.85, n2 = 400 . Use Table 1. |
a. |
Construct the 90% confidence interval for the difference between the population proportions. (Round intermediate calculations and final answer to 4 decimal places.) |
Confidence interval is to . |
Solution :
Given that,
= 0.90
1- = 1 - 090 = 0.10
= 0.85
1 - = 1 - 0.85 = 0.15
n1 = 350
n2 = 400
At 90% confidence level the z is ,
= 1 - 90% = 1 - 0.90 = 0.10
/ 2 = 0.10 / 2 = 0.05
Z/2 = Z0.05 = 1.645
90% confidence interval for p1 - p2 is
,
(
-
) - Z/2 *
[(1-
) / n1 +
(1 -
) / n2] < p1 - p2 <
(
-
) + Z/2 *
[(1-
) / n1 +
(1 -
) / n2]
(0.90 - 0.85) - 1.645 * [ (0.90 * 0.10) / 350 + (0.85 * 0.15) / 400] < p1 - p2 <
(0.90 - 0.85) - 1.645 * [ (0.90 * 0.10) / 350 + (0.85 * 0.15) / 400]
0.05 - 0.0395 < p1 - p2 < 0.05 + 0.0395
0.0105 < p1 - p2 < 0.0895
99% confidence interval for p1 - p2 is : (0.0105 , 0.0895)
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