Answer:
The most conservative sample size is 2401.
Explanation:
We are given the following in the question:
We are not given any approximation of s]ample proportion, thus,

We have to construct a 95% confidence interval.
Margin of error = 2% = 0.02
Formula for margin of error =


Putting values, we get,

Thus, the most conservative sample size is 2401.