Final Answer:
No, using the additional survey information from part (b) does not change the sample size.
The correct option is C.
Step-by-step explanation:
In determining the sample size for estimating a population percentage, the margin of error (E) is influenced by the variability of the population (P) and the confidence level (Z). The formula for the sample size (n) is given by the equation:
![\[ n = (Z^2 * P * (1 - P))/(E^2) \]](https://img.qammunity.org/2024/formulas/mathematics/high-school/g1r6hhtisme7rziv5vpbzyb0jl2jk5h7ai.png)
In part (a), where nothing is known about the percentage, we assume a 50% variability (P = 0.5). In part (b), prior studies provide information about the population percentage (P = 0.85). However, since the confidence level and margin of error remain constant, the change in P does not significantly impact the sample size. The formula demonstrates that P and (1 - P) are multiplied by the same factor, so the effect on n is limited.
Therefore, despite having prior knowledge in part (b), the added information about the population percentage does not substantially affect the sample size calculation. The decision to choose option C is based on recognizing that the change in P doesn't result in a dramatic reduction or increase in the required sample size for the given confidence level and margin of error.
The correct option is C.