Question

what are non sampling errors?​

Answer 1

Answer:

these are errors related to The collection of data .

types

. error of measurement

. error of non response

. error of misinterpretation

. error of sampling bias

Explanation:

Answer 2

Answer:

NON SAMPLING ERRORS:

In statistics, non-sampling error is a catch-all term for the deviations of estimates from their true values that are not a function of the sample chosen, including various systematic errors and random errors that are not due to sampling. Non-sampling errors are much harder to quantify than sampling errors.

Non-sampling errors in survey estimates can arise from:

• Coverage errors, such as failure to accurately represent all population units in the sample, or the inability to obtain information about all sample cases;
• Response errors by respondents due for example to definitional differences, misunderstandings, or deliberate misreporting;
• Mistakes in recording the data or coding it to standard classifications;
• Pseudo-opinions given by respondents when they have no opinion, but do not wish to say so
• Other errors of collection, nonresponse, processing, or imputation of values for missing or inconsistent data
• An excellent discussion of issues pertaining to non-sampling error can be found in several sources such as Kalton (1983) and Salant and Dillman (1995).