The term "sampling error" reflects the fact that sample values are likely to differ from population values because:
A)mistakes have been made in the collection and analysis of the data
B)they are based on only a portion of the overall population
C)bias has contaminated the variance estimates
D)all of these

Question

Quizplus · Accepted Answer

Sampling error refers to the difference between the characteristics of a sample and those of the population from which it was drawn. This is due to the fact that samples are only a portion of the overall population and may not accurately represent the population as a whole. While mistakes and bias can also contribute to sampling error, the primary reason for this phenomenon is the limited size and scope of the sample.

The Term "Sampling Error" Reflects the Fact That Sample Values