Which one of the following statements about sampling error is accurate?

Question

Quizplus · Accepted Answer

Sampling error refers to the degree of inaccuracy in the process of estimating a population parameter based on a sample statistic. The larger the sample size, the more representative it tends to be of the population, which decreases the sampling error. Therefore, option B is the most accurate statement. Option A is incorrect because the sampling error is not solely determined by the sample size; it also depends on other factors such as the variability within the population. Option C is also incorrect because the magnitude of the sampling error varies depending on the population and the question being asked, so a fixed percentage cannot be assigned to a specific sample size. Option D is incorrect because sample size is a critical factor in public opinion polls, as it affects the representativeness of the sample and the accuracy of the estimates.

Which One of the Following Statements About Sampling Error Is