The difference between the results a researcher gets from a sample and what the results might have been had the entire population been polled is called:

Question

Quizplus · Accepted Answer

Random sampling error refers to the natural variation that occurs when a sample is taken from a larger population. The difference between the sample results and what would have been found if the entire population had been surveyed can be attributed to this type of error. Standard error and standard deviation are measures of variability, but do not specifically relate to the difference between sample and population results. "Sampling shift" is not a commonly used term in statistics.

The Difference Between the Results a Researcher Gets from a Sample