A source of error resulting from the fact that information is available only on a subset of the total population is referred to as a(n):
A)nonsampling error.
B)irrelevant error.
C)inaccurate error.
D)sampling error.

Question

Quizplus · Accepted Answer

Sampling error is the error that arises due to the fact that data or information is collected from only a subset of the total population, rather than the entire population. This can result in inaccuracies in the conclusions drawn from the sample data, as the sample may not be fully representative of the population as a whole. Nonsampling error refers to errors that may arise from factors such as bias in the data collection process, measurement errors, or other sources of error that are not directly related to the sampling process. Irrelevant error and inaccurate error are not generally recognized terms in the context of statistical analysis.

A Source of Error Resulting from the Fact That Information