SAMPLING ERROR Definition

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SAMPLING ERROR is the fact that unless 100% of a population is examined, there is some chance the sample results will mislead the examiner. This risk is sampling error.
The larger the sample, the less chance of sampling error and the greater the
reliability of the results.

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