This category of error occurs when a sample does not represent the target population. Nonresponse error (the respondents differ from the sample) is an example.

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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

A	Sampling Error
B	Frame Error
C	Random Error
D	Sample

Explanation:

Detailed explanation-1: -Sampling error arises when a survey sample does not accurately represent the population being researched due to random sampling. Sampling and non-response bias, measurement error, and sampling variability can cause this. Non-sampling error includes all survey errors other than sampling errors.

Detailed explanation-2: -Sampling error is a type of error, occurs due to the sample selected does not perfectly represents the population of interest. An error occurs due to sources other than sampling, while conducting survey activities is known as non sampling error.

Detailed explanation-3: -In survey sampling, respondent error refers to any error introduced into the survey results due to respondents providing untrue or incorrect information. It is a type of systemic bias.

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