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Here is the problem: A sample of 200 has a sample proportion of 0.42. Find the 99 percent confidence interval for the proportion.

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Build a 99 percent confidence interval for the population proportion p.

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Sample proportion.

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Standard error.

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Critical value for 99 percent confidence. The middle 99 percent leaves 0.5 percent in each tail. Large-sample condition met: np̂ approximately 84 and n(1 minus p̂) approximately 116 are both at least 10.

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Margin of error.

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Interval: estimate plus or minus margin.

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So the answer is 99 percent CI: (0.330104, 0.509896); margin of error 0.0898961.

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We are 99 percent confident that the population proportion p lies between 0.330104 and 0.509896. The confidence describes the method: about 99 percent of intervals built this way from repeated samples would capture the true value.

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The interval is centred on the estimate: (0.330104 plus 0.509896) / 2 equals 0.42.

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Large-sample condition met: np̂ approximately 84 and n(1 minus p̂) approximately 116 are both at least 10.
