Sampling Error with example
Sampling error refers to the discrepancy between the characteristics of a sample and the characteristics of the larger population from which the sample is drawn. When conducting research or surveys, it is often impractical or impossible to collect data from an entire population. Instead, researchers collect data from a representative subset of the population known as a sample. The goal is to make inferences about the entire population based on the information gathered from the sample.
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