Non-sampling error is an error caused by factors other than sampling error. Examples of non- sampling errors are selection bias. Population misspecification error, sampling frame error, processing error, respondent error, non-response error, instrument error, interviewer error, and surrogate error. Norm is the standardized or hypothesized value against which a sample statistic is compared.
