Stratified sampling is a statistical technique that may be more efficient than unstratified sampling because it usually:
A) yields a weighted sum of the strata standard deviations that is greater than the standard deviation of the population.
B) increases the variability among items in a stratum by grouping sampling units with similar characteristics.
C) produces an estimate having a desired level of precision with a smaller sample size.
D) is applied to populations where many monetary errors are expected to occur.

Question

Quizplus · Accepted Answer

Stratified sampling helps to reduce the potential for sampling error and increase the precision of estimates by dividing the population into homogenous subgroups (strata) and then randomly sampling within each stratum. This approach can allow us to obtain a more representative sample with a smaller sample size, leading to greater efficiency while maintaining a desired level of precision. Therefore, choice C is the correct answer.

Stratified Sampling Is a Statistical Technique That May Be More