________ error refers to the difference between the estimates from a sample and the true parameters that arise due to random chance.
A)Random
B)Sampling
C)Systematic
D)Unbiased

Question

Quizplus · Accepted Answer

Sampling error is the difference between sample estimates and true population parameters, due to randomness and chance variation in the selection of a sample. Random error refers to fluctuations in data due to chance or random variation, while systematic error is an error in measurement that is consistent and not due to chance. Unbiased refers to a sample or estimator that is not systematically over- or under-estimating the true value. Therefore, the correct answer is B, sampling error.

________ Error Refers to the Difference Between the Estimates from a Sample