Final answer:
The epidemiologist would need to survey at least 2750 women to be 99% confident that the estimated percentage is in error by no more than three percentage points.
Step-by-step explanation:
To estimate the required sample size, we can use the formula:
n = (Z^2 * p * (1-p)) / E^2
Where:
n = required sample size
Z = Z-score corresponding to the desired level of confidence
p = estimated proportion from the prior study
E = maximum allowable error
In this case, the desired level of confidence is 99%, p is 0.83, and E is 0.03. The Z-score is found from the standard normal distribution table for a 99% confidence level, which is approximately 2.576.
Substituting the values into the formula:
n = (2.576^2 * 0.83 * (1-0.83)) / 0.03^2
n = (6.651 * 0.83 * 0.17) / 0.0009
n ≈ 2,749.87
Rounding up to the nearest whole number, the epidemiologist would need to survey at least 2750 women to be 99% confident that the estimated percentage is in error by no more than three percentage points.