The distinction between a sampling distribution and a confidence interval is: Option A A sampling distribution gives possible values for a sample statistic when the population parameter is assumed known, while a confidence interval gives possible values for a population parameter when only a single value of a sample statistic is known. Option B A confidence interval gives possible values for a sample statistic when the population parameter is assumed known, while a sampling distribution gives possible values for a population parameter when only a single value of a sample statistic is known. Option C Sampling distributions exist only for situations involving means, while confidence intervals can be computed for situations involving means and proportions. Option D Confidence intervals exist only for situations involving means, while sampling distributions can be computed for situations involving means and proportions