If we want to find the required sample size for the interval estimation of the population proportion,and no reasonable estimate of this proportion is available,we assume the worst-case scenario under which .

Question

If we want to find the required sample size for the interval estimation of the population proportion,and no reasonable estimate of this proportion is available,we assume the worst-case scenario under which  .

Quizplus · Accepted Answer

When no reasonable estimate of the population proportion is available, we assume the worst-case scenario, which is when the proportion is 0.5. This is because when we don't have any prior knowledge or information about the population proportion, assuming 0.5 gives us the largest sample size needed for a given level of confidence and margin of error, which ensures that our interval estimate is as accurate as possible.

If We Want to Find the Required Sample Size for the Interval