Describe the abstract idea of a sampling distribution and how it reflects the sample to sample variability of a sample statistic or point estimate. Identify the ...

Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.

Sampling error assumes a probability sample – a random, representative sample of a full population in which all respondents have a known (and not zero) probability of selection.

The simulation study provided information on the efficiency of the designs and the shapes of the sampling distributions of the estimators. The best design was stratified random sampling in which ...