a)
= 493/1050 = 0.4695
b) n
(1
-
) = 1050 * 0.4695 * (1 - 0.4695) = 261.52
Since n
(1
-
) > 10 and n
< 0.05N, so
assume that the population is normally distributed.
c) At 95% confidence level, the critical value is z0.025 = 1.96
The 95% confidence interval for population proportion is
+/- z0.025 * sqrt(
(1
-
)/n)
= 0.4695 +/- 1.96 * sqrt(0.4695 * (1 - 0.4695)/1050)
= 0.4695 +/- 0.0302
= 0.4393, 0.4997
d) At 99% confidence level, the critical value is z0.005 = 2.58
The 99% confidence interval for population proportion is
+/- z0.005 * sqrt(
(1
-
)/n)
= 0.4695 +/- 2.58 * sqrt(0.4695 * (1 - 0.4695)/1050)
= 0.4695 +/- 0.0397
= 0.4298, 0.5092
e) As the confidence level increases, the width of the confidence interval also increases.
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