Answer:
To find the minimum sample size required to estimate an unknown population proportion, we can use the formula for sample size calculation for estimating proportions. The formula is given by:
n = (Z^2 * p * (1 - p)) / E^2
where:
n is the minimum sample size required,
Z is the Z-score corresponding to the desired level of confidence (in this case, 90% confidence),
p is the estimated proportion from the previous study (70%),
E is the desired margin of error (5 percentage points or 0.05).
Substituting the values into the formula:
n = (Z^2 * p * (1 - p)) / E^2
n = (1.645^2 * 0.70 * (1 - 0.70)) / (0.05^2)
n ≈ 457.336
Rounding up to the nearest whole number, the minimum sample size required is 457.
Therefore, the answer is D. 457.
Explanation: