Which of the following is true concerning sampling error?

Question

Quizplus · Accepted Answer

Sampling error refers to the variability between sample statistics and the corresponding population parameter due to chance. Option A is correct because the central limit theorem predicts that sample statistics will follow a normal distribution around the population parameter if many independent random samples are drawn from a population. Option B is incorrect because probability theory does allow us to estimate how closely sample statistics are clustered through the use of the standard error. Option C is also incorrect because the standard error is precisely used to estimate how far or close the sample statistics are from the population parameter. Therefore, the best answer is A.

Which of the Following Is True Concerning Sampling Error