The difference between probability sampling and nonprobability sampling is that in nonprobability sampling:
A) each sampling unit in a defined target population has a known probability of being selected for the sample.
B) observed differences in sample findings can be partially attributed to the existence of sampling errors.
C) the results can be generalized to a target population within a specified margin of error.
D) the researcher is able to judge the reliability and validity of data collected by calculating the probability.
E) sampling error is not known.

Question

Quizplus · Accepted Answer

In nonprobability sampling, sampling error is not known and therefore cannot be controlled or measured. The other options refer to characteristics of probability sampling.

The Difference Between Probability Sampling and Nonprobability Sampling Is That