Final answer:
To determine the necessary sample size, we can use the formula n = (Z^2 * p * (1 - p)) / E^2, where Z is the z-score corresponding to the desired confidence level, p is the estimated proportion, and E is the maximum allowable margin of error. Plugging in the values, we find that the necessary sample size is 89.
Step-by-step explanation:
To determine the necessary sample size, we need to use the formula:
n = (Z^2 * p * (1 - p)) / E^2
Where:
Z is the z-score corresponding to the desired confidence level (95% = 1.96),
p is the estimated proportion (unknown, so we assume p = 0.5 for maximum sample size),
E is the maximum allowable margin of error (0.18).
Plugging in the values, we get:
n = (1.96^2 * 0.5 * (1 - 0.5)) / 0.18^2
n ≈ 2.86 / 0.0324
n ≈ 88.27
Rounding up to the nearest integer, the required sample size is 89.