The difference in scores that occurs when we test a sample drawn out of the population is ______.
A) sampling error
B) stratified error
C) cluster error
D) independent error

Question

Quizplus · Accepted Answer

Sampling error refers to the random variability that occurs when testing a sample instead of the entire population. This can result in a difference in scores between the sample and population. Stratified error, cluster error, and independent error refer to other types of errors that may occur in the sampling process but do not specifically relate to the difference in scores between sample and population.

The Difference in Scores That Occurs When We Test a Sample