Confidence interval

The survey results must be interpreted within the interval that sets forth the limits around the obtained estimate: the so-called confidence interval.

The level of survey confidence is established under common agreement between client and the institute; however, it is quite common to work with 95% confidence intervals.

Considering the error margin of 3 percentage points for candidate A with estimated voting intent set at 30%, for example, its confidence interval would be 27% to 33%, at 95% reliability rate.

It means that, taking into account the same sampling model, if 100 samples are taken from the population, the rate for such candidate will vary from 27% to 33% for 95 of them.


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