The error that occurs because a sample, and not the entire population, is used to estimate a population parameter is a
A)nonsampling error
B)sampling error
C)judgment error
D)standard error

Question

Quizplus · Accepted Answer

Sampling error is the error that occurs due to the fact that a sample, and not the entire population, is used to estimate a population parameter. Nonsampling error refers to errors that occur in the collection, recording, and analysis of data, while judgment error refers to errors that arise due to bias or subjective judgments on the part of the researcher. Standard error is a measure of the variability or spread of the sampling distribution.

The Error That Occurs Because a Sample, and Not the Entire