Sampling error is maximum when the sample size equals the population.

Question

Quizplus · Accepted Answer

Sampling error is actually minimized when the sample size equals the population size. This is because the sample represents the entire population and eliminates the possibility of sampling bias. When the sample size is smaller than the population size, sampling error increases due to the possibility of not capturing the entire range of variability within the population. However, when the sample size is larger than the population size, there is no further reduction in sampling error as additional data points are simply duplicating the same information.

Sampling Error Is Maximum When the Sample Size Equals the Population