Sampling error is the difference between a corresponding sample statistic and the
A) sample mean.
B) biased sample.
C) population parameter.
D) chance error.

Question

Quizplus · Accepted Answer

Sampling error is the difference between a corresponding sample statistic and the population parameter. It is a result of the fact that a sample is only a subset of a population and may not perfectly represent it.

Sampling Error Is the Difference Between a Corresponding Sample Statistic