In polling, the difference between the sample's results and those that would have been obtained had the entire population been interviewed is

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The difference between the sample's results and those that would have been obtained had the entire population been interviewed is known as sampling error. This is because the sample is just a subset of the whole population, and there is always a degree of uncertainty in any sample. Sampling errors can occur due to a variety of reasons, such as bias in the selection of the sample, random variation in the sample, or errors in data collection or analysis.

In Polling, the Difference Between the Sample's Results and Those