Final answer:
The option that best addresses the concern about whether the point estimate is accurate enough is Sampling distribution analysis.
Step-by-step explanation:
The option that best addresses the concern about whether the point estimate is accurate enough is C. Sampling distribution analysis.
In inferential statistics, we use sample data to make generalizations about an unknown population. The point estimate is a single value that is calculated from the sample data and is used to estimate the population parameter. However, we know that the point estimate is not exact and may vary from the true population value. In order to assess the accuracy of the point estimate, we perform a sampling distribution analysis.
A sampling distribution is a distribution of all possible point estimates that could be obtained from different samples of the same size taken from the population. By analyzing the sampling distribution, we can determine the precision of the point estimate and assess how accurate it is. Confidence intervals are also constructed based on the sampling distribution analysis to provide a range of values that likely includes the true population parameter.