Sampling Distribution: A sampling distribution shows all possible values for a sample statistic, such as means or proportions, that could be obtained from repeated random samples of the same size from a population.
Standard Error: The standard error measures how much the sample statistic varies from sample to sample due to sampling variability. It gives an idea of how accurate our estimate is likely to be.
Margin of Error: The margin of error is a measure of how close our estimated value (such as a mean or proportion) is likely to be to the true population value. It takes into account both sampling variability and confidence level.