The ``Scaled-Binomial'' Confidence Interval

The primary method for calculating confidence intervals is based off a continuous analogy of a Binomial distribution. Each marginal estimate of a classification proportion is really created by averaging a large number of such proportion estimates generated on each PSU. Hence, we have a proportion estimate p which represents one of the parameters from a binomial distribution. We also have the variance of the parameter estimate.