Final answer:
Sampling error is the risk that the decision made based on the sample will differ from the decision made based on the entire population.
Step-by-step explanation:
The risk that the decision made based on the sample will differ from the decision made based on the entire population is referred to as sampling error. Sampling error occurs when the sample is not representative of the population, either due to a small sample size or bias in the selection process. It is important to minimize sampling error by using a larger sample and taking care to choose a randomized sample.