Question Options:
a. systematic error.
b. sampling error.
c. nonsampling error.
d. noncoverage error.
e. response error.
Answer: SAMPLING ERROR.
Explanation: Sampling error refers to an error that occurs as a result of observing a subset of a population instead of the whole population. It occurs when a researcher does not select a sample that represents the entire population of data. For example, the difference between a population mean and a sample mean is sampling error.