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During a recent drought, a water utility in a certain town sampled 100 residential water bills and found that 75 of the residences had reduced their water consumption over that of the previous year. Find a 95% confidence interval for the proportion of residences that reduced their water consumption. Round the answers to three decimal places.

User ThinkChris
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Answer:

The 95% confidence interval for the proportion of residences that reduced their water consumption is (0.665, 0.835).

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).

Sampled 100 residential water bills and found that 75 of the residences had reduced their water consumption over that of the previous year.

This means that
n = 100, \pi = (75)/(100) = 0.75

95% confidence level

So
\alpha = 0.05, z is the value of Z that has a pvalue of
1 - (0.05)/(2) = 0.975, so
Z = 1.96.

The lower limit of this interval is:


\pi - z\sqrt{(\pi(1-\pi))/(n)} = 0.75 - 1.96\sqrt{(0.75*0.25)/(100)} = 0.665

The upper limit of this interval is:


\pi + z\sqrt{(\pi(1-\pi))/(n)} = 0.75 + 1.96\sqrt{(0.75*0.25)/(100)} = 0.835

The 95% confidence interval for the proportion of residences that reduced their water consumption is (0.665, 0.835).

User Jerinisready
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