Final Answer:
The greater the amount of difference between tolerable deviation rate and expected deviation rate, A. The larger the sample size.
Step-by-step explanation:
The tolerable deviation rate represents the maximum acceptable margin of error in a statistical estimate, while the expected deviation rate represents the anticipated level of variation in the population being sampled. The difference between these two rates indicates the level of precision desired in the estimate.
A larger difference between the tolerable deviation rate and the expected deviation rate implies a higher degree of precision, which necessitates a larger sample size. This is because a larger sample provides more data points, allowing for a more accurate estimate of the population mean and reducing the overall variance in the sample.
Therefore, the greater the difference between tolerable deviation rate and expected deviation rate, the larger the sample size should be.
Option A is answer.