Discussion
As sample size increases sampling errors ...............
Answer: B
As sample size increases, sampling errors decrease.
Sampling error arises because a sample is only part of the population. The standard error of the mean is
\[ SE = \frac{\sigma}{\sqrt{n}} \]
so it falls as \(n\) rises, and becomes zero when the whole population is covered. Non-sampling errors, such as mistakes in recording, may grow with a larger survey, but sampling error does not, so the other options are wrong.
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