Answer:
The potential problem with samples that could explain this connection is:
Causality.
Step-by-step explanation:
There are different problems with samples and sampling, including sampling bias, sample size, and explaining causality between two variables. Sometimes, small sample sizes can be used to draw conclusions, but the larger the sample size, the better. Likewise, the elimination of sampling bias increases the accuracy of research conclusions. Most importantly, while a relationship or correlation may exist between two variables, it does not necessarily imply or explain that one variable causes the other.