#### Answer

Sampling error is the discrepancy between a sample statistic and the corresponding population parameter, which occurs naturally because even correctly drawn samples will likely not represent the population perfectly.
This is a problem for inferential statistics because there is a possibility (but a small possibility if everything is calculated correctly) that the sample statistic will be so inaccurate that it is not useful.