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Assume that a sample is used to estimate a population proportion p. Find the 99% confidence interval for a sample of size 133 with 61.7% successes. Enter your answer as an open-interval (i.e., parentheses) using decimals (not percents) accurate to three decimal places.

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Answer:

The 99% confidence interval is (0.508, 0.726).

Explanation:

In a sample with a number n of people surveyed with a probability of a success of
\pi, and a confidence level of
1-\alpha, we have the following confidence interval of proportions.


\pi \pm z\sqrt{(\pi(1-\pi))/(n)}

In which

z is the zscore that has a pvalue of
1 - (\alpha)/(2).

For this problem, we have that:


n = 133, p = 0.617

99% confidence level

So
\alpha = 0.01, z is the value of Z that has a pvalue of
1 - (0.01)/(2) = 0.995, so
Z = 2.575.

The lower limit of this interval is:


\pi - z\sqrt{(\pi(1-\pi))/(n)} = 0.617 - 2.575\sqrt{(0.617*0.383)/(133)} = 0.508

The upper limit of this interval is:


\pi + z\sqrt{(\pi(1-\pi))/(n)} = 0.617 + 2.575\sqrt{(0.617*0.383)/(133)} = 0.726

The 99% confidence interval is (0.508, 0.726).

User Marek Gregor
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