If a public opinion survey reports finding that a particular candidate is supported by 60 percent of voters and that there is a 95 percent chance that support for this candidate is somewhere between 63.1 percent and 56.9 percent, the 3.1 percent variation from 60 percent is called:

Margin of error

Explanation:

All surveys have margins of error because they consist of a limited sample out of a population that can be millions of times bigger. The less representative the sample, the higher the margin of error.

And a representative sample is one that surveys a considerable amount of people out of the population.

In this case, a 3.1 margin of error is very low, and for this reason alone, we can say that the survey is good, and the sample, representative.

The difference between the voter's support for the particular candidate which is between 63.1% and 56.9% is:

Margin of error is the difference between percentage points and and  actual population value.

This is as a result of errors which can be prepared for by making estimates  so that the difference can be well compensated for.

As a result of this, most surveys have this margin of error so that their sample size can be better monitored.

When the sample size is larger, then the margin of error would be higher.

Therefore, the correct answer is margin of error

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