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In a sample of 590 adults, 401 had children. Construct a 99% confidence interval for the true pbpulation

proportion of adults with children.

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Final answer:

To construct a confidence interval for the true population proportion of adults with children, we can use the formula CI = p' ± Z * √[(p' * (1 - p')) / n]. In this case, the 99% confidence interval is (0.648, 0.712).

Step-by-step explanation:

To construct a confidence interval for the true population proportion, we can use the formula:

CI = p' ± Z * √[(p' * (1 - p')) / n]

Where:

  • CI is the confidence interval
  • p' is the sample proportion
  • Z is the z-score corresponding to the desired confidence level
  • n is the sample size

In this case, the sample proportion is 401/590 = 0.680, and the sample size is 590. The z-score for a 99% confidence level is approximately 2.576. Plugging in these values:

CI = 0.680 ± 2.576 * √[(0.680 * (1 - 0.680)) / 590] = (0.648, 0.712)

Therefore, the 99% confidence interval for the true population proportion of adults with children is (0.648, 0.712).

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