What is the primary reason for applying a finite population correction coefficient?
A. When the sample is a very small portion of the population, the correction coefficient is required.
B. If you don't apply the correction coefficient, your confidence intervals will be too broad, and thus less useful in decision making.
C. If you don't apply the correction coefficient, your confidence intervals will be too narrow, and thus overconfident.
D. If you don't apply the correction coefficient, you won't have values to plug in for all the variables in the confidence interval formula.