Sampling error decreases with the
UGC NET - 2013,
Answer: B
Sampling error decreases with an increase in sample size. The larger the sample, the closer the sample statistics come to the population values, since random differences between a sample and the population average out.
A smaller sample would raise the error. Randomisation protects against bias in selecting units but does not by itself shrink the error caused by chance, and the process of analysis is a later stage which does not alter the error of sampling.
In practice, a researcher who wants a smaller sampling error either enlarges the sample or uses a better design, and for simple random samples the standard error falls in proportion to the square root of the sample size.
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