Sampling error and non-sampling error can each cause a sample result to be non-representative.

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Quizplus · Accepted Answer

Both sampling error and non-sampling error can lead to a sample that is not representative of the population. Sampling error occurs due to chance variation in the selection of participants, while non-sampling error arises from problems in data collection or analysis. Both types of error can bias the sample results and affect their generalizability to the population.

Sampling Error and Non-Sampling Error Can Each Cause a Sample