Glosario de términos estadísticos: definición Margin of error

The margin of error is the maximum deviation of the sample results from the real values. If there is a large margin of error in a survey, there will be less confidence that it matches the ‘true’ figures for the total population. In many surveys which are referred to as representative, the margin of error is between three and five percent. Therefore at the end of the poll, narrow results give no clear information about the actual state of the target group. With a margin of error of three percent, a PRO CONTRA 48 to 52 percent will have the same probability as PRO 51 (+3%) to CONTRA 49 percent (-3%).

The margin of error is calculated from the size of the sample, as well as the underlying confidence level and the proportion involved (percentage of respondents who have selected the characteristic under consideration). Projections over the course of an evening after an election can show the power of an opinion poll as well as its error limits. In a sample survey, a result can already be claimed by 6 pm, which is usually a few tenths of a percent from the final result. Nevertheless, in the course of many election evenings, there can be deviations of plus or minus two percent between the first prognosis and the official result. This difference shows the deviation of the sample result (referring to voters outside the polling stations) from the actual result of the population (in this case all active voters). The maximum extent of this deviation can be mathematically predicted using the margin of error.

Tenga en cuenta que las entradas de nuestro glosario son explicaciones simplificadas de términos estadísticos. Nuestro objetivo es hacerlo accesible para un público amplio, así que puede que algunas definiciones no cumplan los estándares científicos.

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