An example of non-sampling risk is the selection of a random sample that is not representative of the population.

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This statement actually describes a sampling risk, as it pertains to the risk of obtaining flawed or biased results through the sampling process. Non-sampling risks, on the other hand, are related to errors or uncertainties that arise outside of the sampling process, such as those related to the quality of data collection, recording, or analysis. An example of a non-sampling risk might be the risk of misinterpreting or misrepresenting data due to errors in data entry or calculation.

An Example of Non-Sampling Risk Is the Selection of a Random