using a large sample corrects for sampling bias.

Question

Quizplus · Accepted Answer

Using a large sample size can reduce the impact of random sampling error, making the sample mean a more accurate estimate of the population mean, but it does not inherently correct for sampling bias. Sampling bias occurs when certain members of the population are systematically more likely to be selected in the sample than others, and increasing the sample size does not address the root cause of this issue.

Using a Large Sample Corrects for Sampling Bias