Which of the following are not true concerning sampling error?
A) if many independent random samples are drawn from a population, then the sample statistics from those samples are distributed in a predictable way around the population parameter
B) probability theory allows us to use a formula to estimate how closely the sample statistics are clustered
C) the standard error identifies how spread out or clustered the sample statistics are around the population parameter
D) sampling error allows us to know if we selected the wrong subjects for our sample

Question

Quizplus · Accepted Answer

Sampling error refers to the error that occurs due to the random variation in the sample selected from a population. It does not indicate if the wrong subjects were selected for the sample.

Which of the Following Are Not True Concerning Sampling Error