Sampling error is defined as differences between the estimate and the estimated parameter due to which of the following?

Question

Quizplus · Accepted Answer

Sampling error occurs because of the natural variability inherent in selecting a sample from a population, not because of mistakes or bias. It is the difference between the sample statistic and the actual population parameter that arises due to the sample not perfectly representing the population, which is a result of randomness in the sampling process.

Sampling Error Is Defined as Differences Between the Estimate and the Estimated